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Release/0.5.0 (#35)

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* feat: Introduce function-scoped variable interning for state analysis with new tests and fixtures

* feat: Add Phase 26 symbolic execution enhancements with bitwise operator support, abstract interpretation refinements, and new taint analysis tests

* feat: Refine state analysis to handle factory-pattern resource returns with mixed-path tests and leak detection enhancements

* feat: Add Phase 27 debug views with symbolic execution, abstract interpretation, SSA, and call graph viewers; integrate with debug layout and styles

* feat: Add Phase 31 type-qualified symbolic resolution with receiver-based callee disambiguation and testing

* feat: Extend symbolic execution with state iteration, enhanced debug views, and debounced input handling

* feat: Add Phase 13 resource and auth pattern extensions with new tests and fixtures

* feat: Introduce CFG debug graph renderer with compact mode, toolbar, and DAG layout integration

* feat: Add Phase 28 encoding and decoding transform modeling with structural symex enhancements and new taint analysis tests

* feat: Extend abstract interpretation with type facts and constant value tracking in debug views and server logic

* feat: Add linear path handling and witness extraction to symbolic execution with Phase 28 transform mismatch detection

* feat: Refine Go auth and sanitizer handling with enhanced rules, state updates, and benchmark improvements

* feat: Enable auth-state analysis by default and update relevant tests in benchmark config

* test: Update state_tests to reflect default enablement of auth-state analysis and add auth suppression test

* docs: update CHANGELOG.md

* feat: Introduce per-index taint tracking in `HeapState` with `HeapSlot`, overflow handling, and revised SSA transfers

* feat: Introduce C/C++ language labels and refine heap state tracking in SSA transfers

* feat: Implement per-index array slot tracking in symbolic heap with overflow collapse

* feat: Add implicit definition handling for uninitialized declarations in SSA value allocation

* feat: Refactor function parameters and constants for improved clarity and maintainability

* refactor: Reorder module imports and improve formatting for consistency

* refactor: Fix formatting erorrs

* refactor: Fix clippy warnings

* refactor: Fix fmt warnings (again)

* chore: Update dependencies and improve feature configuration

* Add comprehensive tests for undertested modules (#36) (COPILOT)

* Add comprehensive tests for undertested modules

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* Add comprehensive tests for ext, project, walk, and errors modules

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* chore: Update dependencies and improve feature configuration

* fix: formatting errors in new tests

* chore: Update license list in about.toml

* chore: made functions input inline

* chore: updated cfg graph to take up the full page

* chore: add Prettier configuration and update code formatting

* Add frontend test suite with Vitest (111 tests) (#37)

* Add Vitest test suite for frontend - 111 tests across utils, components, hooks, and graph utilities

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* ci: add frontend test step to CI workflow

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* chore: simplify array initialization in test files for consistency

* ran typecheck

* feat: add AnalysisWorkspace component and integrate it into CfgViewerPage

* feat: update routing in AppLayout and improve empty state message in ExplorerPage

* feat: enhance scan progress tracking with additional metrics and stages

* feat: update license information and add license check script

* feat: implement cross-file symbolic execution with callee body persistence

* feat: replace dagre graphs with Graphology + ELK + Sigma for more advanced call stack and cfg rendering

* feat: ensure CFG function view is scoped to the selected function, preventing bleed into sibling functions

* feat: enhance resource tracking with proxy method summaries and improve finding extraction

* feat: add terminal function exit detection for accurate resource leak analysis

* feat: add warnings for loops and functions without bodies to improve error recovery

* feat: update lambda expression handling to ensure proper function classification and control flow

* feat: remove bounded formatting/string ops and add JSON.parse sanitizer for improved data handling

* feat: add inline return taint analysis and regression tests for improved security checks

* feat: add engine version management and migration handling for database schema updates

* feat: enhance first_call_ident to skip nested function bodies and add regression tests

* feat: enhance callee name resolution with two-segment normalization and disambiguation

* feat: add cross-file context flags and debug assertions for taint analysis

* feat: refactor taint analysis structure to unify context handling and improve clarity

* feat: enhance dead code elimination to preserve Sink, Source, and Sanitizer labels with new tests

* docs: updated CHANGELOG.md

* fmt: formatting fixes

* fix: fixed frontend formatting and lint warnings

* fix: optimized ci

* fix: optimized ci

* Add comprehensive multi-file test coverage to Nyx (#38)

* Initial checklist for multi-file test suite expansion

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* Add 12 new multi-file test fixtures with TP/TN/near-miss coverage

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* deleted root repo

* rebuilt to test for regressions

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* feat: enhance import alias resolution and taint tracking

* feat: implement security hardening with CSRF protection and path validation

* feat: add support for import alias bindings in Python, PHP, and Rust

* feat: enhance CFG analysis modes and improve code readability

* feat: add detection for parameterized SQL queries to enhance security

* feat: add safe internal redirect handling and enhance session destroy validation

* feat: implement security improvements by addressing vulnerabilities in execAsync, session management, and file downloads

* feat: enhance taint detection by adding support for inline source member expressions in call arguments

* feat: implement pre-emission of Source nodes for inline source member expressions in call arguments

* feat: add support for Throw statement in control flow and error handling

* feat: add debug and echo endpoints with potential information leakage

* feat: implement internal redirect suppression and enhance taint detection

* feat: implement module alias tracking for dynamic dispatch in JS/TS

* feat: add authorization analysis module with Express support

* feat: add authorization analysis module with Express support

* feat: add tests for admin guard requirements and clean checks in authorization analysis

* feat: integrate Koa and Fastify frameworks into authorization analysis

* feat: add Flask and Django support to authorization analysis module

* feat: add support for Rails and Sinatra frameworks in authorization analysis

* feat: add support for Axum, ActixWeb, and Rocket frameworks in authorization analysis

* feat: add support for ActixWeb, Axum, and Rocket frameworks in authorization analysis

* feat: add support for Rails and Sinatra in authorization analysis

* chore: add .DS_Store to .gitignore

* refactor: simplify conditional checks and improve readability in multiple files

* refactor: update usage of Option methods for improved clarity and consistency

* refactor: improve code readability by simplifying conditional checks and formatting

* refactor: improve code formatting and readability by simplifying conditional checks

* refactor: simplify conditional checks and improve readability in multiple files

* refactor: simplify conditional checks in axum.rs for improved readability

* feat: add CodeQL analysis configuration for enhanced security scanning

* test: add comprehensive tests for `src/output.rs` SARIF builder (#39)

* chore: start test coverage improvement work

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* test: add comprehensive tests for src/output.rs SARIF builder

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* refactor: improve code formatting and readability in output.rs

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* refactor: improve code formatting and readability in output.rs

* Potential fix for code scanning alert no. 210: Uncontrolled data used in path expression

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* Potential fix for code scanning alert no. 211: Uncontrolled data used in path expression

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* refactor: enhance triage file path handling with improved error management and validation

* refactor: updated func summaries for richer detail

* refactor: update SSA summary extraction to use canonical FuncKey for distinct entries

* refactor: enhance callee metadata structure to support arity, receiver, and qualifier for better overload resolution

* refactor: add support for keyword arguments in function calls and enhance receiver extraction for method-style calls

* refactor: implement new Flask routes for safe and unsafe shell command execution

* refactor: separate receiver handling in SSA operations and enhance taint propagation

* refactor: improve arity handling by using arg_uses for positional argument count and enhance witness scoring for tainted arguments

* refactor: implement auth decorator extraction and classification for multiple languages

* refactor: enhance Rust module path resolution and use map handling for cross-file disambiguation

* refactor: introduce CalleeQuery struct for structured callee resolution and enhance resolver logic

* refactor: implement same-file identity collision handling for `runTask` to ensure correct resolver behavior

* refactor: standardize default struct initialization across multiple files

* feat: add scripts for formatting checks and auto-fixes with test summaries

* refactor: simplify character splitting and enhance namespace qualifier handling

* refactor: improve documentation clarity and enhance code readability in resolver logic

* refactor: replace default struct initialization with explicit field assignments for clarity

* feat: enhance anonymous function naming by deriving context-based bindings

* refactor: streamline match expressions for improved readability and performance

* refactor: streamline match expressions for improved readability and performance

* refactor: replace loop with while let for improved clarity and performance

* feat: add SSA constant propagation support to analysis context for improved accuracy

* feat: add SSA constant propagation support to analysis context for improved accuracy

* feat: implement shell metacharacter validation and bounded-length checks in Rust analysis

* feat: add static map analysis for command injection suppression and type safety

* refactor: simplify match statements and reduce line breaks for improved readability

* feat(summary): phase 1/5 SinkSite data model for primary sink-location attribution

Introduce SinkSite (file_rel, line, col, snippet, cap) carrying the
primary sink source-location through function summaries. Swap
SsaFuncSummary.param_to_sink and FuncSummary.param_to_sink from a coarse
Cap map to a deduped SmallVec<[SinkSite; 1]> per parameter, with a
backward-compatible cap_sites() helper and serde defaults so pre-phase-1
on-disk rows continue to deserialise cleanly.

Extraction: SinkSiteLocator bundles the tree/bytes/file_rel needed by
extract_ssa_func_summary; ParsedFile::extract_ssa_artifacts wires the
locator in for the persisted pass-1 path, while pass-2 intra-file
transient summaries fall back to cap-only sites (behavior unchanged).
Merge: GlobalSummaries::insert now unions sink sites with
(file_rel, line, col, cap) dedup via shared union_param_sink_sites
helper.

Database: JSON-serialised summary columns carry the new shape
automatically; no schema change needed.

Phase 2 will consume SinkSite in build_taint_diag() to overwrite the
caller-site Finding.line with the callee's sink line when resolved via
summary. Phase 1 keeps behavior unchanged: scanning
tests/benchmark/corpus/rust/cmdi/cmdi_indirect.rs still produces the
same (wrong) line 10 finding.

Adds round-trip tests covering SinkSite solo, SsaFuncSummary with sink
sites, legacy-JSON default handling for both summary types, and merge
dedup.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>

* feat(taint): phase 2/5 thread SinkSite into SsaTaintEvent and Finding

Plumb Phase 1's SinkSite through the event pipeline into Findings,
no output change yet.  SsaTaintEvent gains `primary_sink_site:
Option<SinkSite>`; when the main or callback sink-emission path has
non-empty `param_to_sink_sites`, filter to sites whose
`(line != 0) && (cap ∩ sink_caps != ∅)` and emit one event per
distinct site — the multi-primary collapse keeps each downstream
Finding single-primary.

Resolution: ResolvedSummary and SinkInfo gain mirror
`param_to_sink_sites` fields, populated from `SsaFuncSummary.param_to_sink`
(SSA + callback paths) and `FuncSummary.param_to_sink` (global paths).
Label, local-summary, and interop resolution paths leave the field
empty — they only ever had cap-level info to begin with.

Finding: new `primary_location: Option<SinkLocation>` with
`file_rel/line/col`.  `ssa_events_to_findings` maps
`event.primary_sink_site` → `Finding.primary_location`, filtering
cap-only sites (`line == 0`) to `None` so the (0,0) sentinel never
leaks to formatters.  Dedup key extended with the primary location
so multi-site events aren't collapsed back together.

Invariants (debug_assert!):
* every SinkSite reaching emission has `line != 0 && cap ∩ sink_caps
  != ∅` — enforced by the pick_primary_sink_sites* filters;
* every populated Finding.primary_location has `line != 0` AND
  non-empty `file_rel` — the cap-only → None translation upstream
  guarantees this.

Deliberately independent of `uses_summary`: that flag tracks whether
the *taint chain* used a summary, whereas primary attribution
requires only that the *sink* itself was summary-resolved.  A local
source reaching a cross-file sink produces `uses_summary=false`
alongside a populated primary_location — documented on
Finding.primary_location, covered by
`cross_file_sink_finding_carries_primary_location`.

build_taint_diag, SARIF/JSON/explanation formatters, and the
benchmark scorer remain untouched: finding.line still comes from
`cfg_graph[finding.sink]`, so cmdi_indirect.rs still reports line 10
and the benchmark's rs-cmdi-003 row still shows FN in the LOC column.

Tests: `cross_file_sink_finding_carries_primary_location` (proves
plumbing via a synthetic FuncSummary carrying a SinkSite at 42:5) and
`cross_file_sink_cap_only_site_leaves_primary_location_none`
(regression guard against cap-only sites surfacing).  All 1566 lib
tests + integration tests pass.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(output): phase 3/5 consume primary sink location in diag + SARIF

When a finding's primary_location (populated in phase 2 from a callee
summary's SinkSite) names the dangerous instruction inside a callee
body, attribute the diagnostic line to that location instead of the
caller's call site. The call site is demoted to a Call step in
flow_steps, and a synthetic Sink step at the primary location is
appended so analysts still see the full trace.

Changes:
- Add scan_root parameter to build_taint_diag so file_rel can be
  resolved back to an absolute path via a shared resolve_file_rel
  helper. Empty file_rel (single-file scans where namespace == "")
  resolves to the file under analysis.
- Extend SinkLocation with snippet, carried from the upstream
  SinkSite so the formatter needs no second file read.
- Relax the ssa_events_to_findings debug_assert to allow empty
  file_rel, which is valid when scan root equals the file itself.
- SARIF: emit data-flow as codeFlows[0].threadFlows[0].locations[];
  locations[0] already reflects the primary sink position via the
  updated diag line/col.

Acceptance: scan on tests/benchmark/corpus/rust/cmdi/cmdi_indirect.rs
now reports line 5 (Command::new) as the primary sink, with the call
site at line 10 visible in flow_steps.

Two expect.json fixtures updated (must_match line_range widened):
- javascript/taint/context_sensitive_call: 12-14 -> 7-14 (line 8 is
  the real sink inside run()).
- rust/cfg/closure_async: 10-10 -> 10-11 (line 11 is Command::new
  inside the closure).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(bench): phase 4/5 validate primary sink attribution across corpus

Extend the benchmark scorer and ground truth to lock in phase 3's
primary-location behavior, and add fixtures that exercise the new
capability end-to-end.

Scorer (tests/benchmark_test.rs):
- Add optional `expected_call_site_lines: Option<Vec<[usize; 2]>>` on
  Case. When present, score_location_level additionally requires at
  least one flow_step in the finding's evidence trace to fall within
  ±2 of the call-site range. When absent, the check is skipped —
  fully forward-compatible with existing fixtures.
- Retain ±2 tolerance on expected_sink_lines (compared against the
  now-primary Diag.line post-phase-3).

Ground truth edits:
- rs-cmdi-cross-001: expected_sink_lines [8,8] -> [9,9]. Line 8 is the
  transform::wrap call site (a cross-file propagator, not a sink);
  line 9 is Command::new, the real sink. The ±2 tolerance happened to
  mask this stale attribution but it was semantically wrong — phase 4
  is the right time to correct it. Also adds expected_call_site_lines
  [8,8] so the new field is exercised on an existing cross-file case.
- rs-cmdi-003: adds expected_call_site_lines [10,10] (run_cmd call).
  This fixture's sink (Command::new inside run_cmd at line 5) was the
  motivating case for phases 1-3; adding the call-site assertion
  guards against regression to caller-line attribution.

New fixtures:
- rust/cmdi/cmdi_indirect_multisink.rs (rs-cmdi-009): helper run_both
  takes two tainted params and invokes two Command sinks on
  consecutive lines. Locks in that primary line lands inside the
  helper (lines 5-6), not at the caller (line 12). Notes document
  that SinkSite is currently one-per-callee so both findings today
  collapse onto the first sink; expected_sink_lines=[5,6] and
  expected_call_site_lines=[12,12] stay valid either way.
- python/cmdi/cross_indirect_sink/{app.py,helper.py} (py-cmdi-cross-
  004): sink os.system lives in helper.py (cross-file), caller in
  app.py reads env source and calls run_cmd. Verifies phase 3's
  cross-file primary attribution: Diag.path = helper.py, Diag.line =
  5, with app.py:7 recorded in flow_steps as a Call step.

Acceptance:
- `cargo test --test benchmark_test -- --ignored --nocapture` passes.
- rs-cmdi-003 is TP/TP/TP (the target flip FN->TP at LOC). All
  pre-existing TP/TP/TP fixtures remain TP/TP/TP; 2 new fixtures are
  TP/TP/TP.
- Aggregate rule-level: TP=158 FP=10 FN=1 TN=97, P=0.940 R=0.994
  F1=0.966 on the 266-case corpus (was TP=156 FP=10 FN=1 TN=97 on
  264 pre-phase-4, delta is the +2 new cases both resolving TP).
- Full `cargo test` green (1566 lib tests + all integration tests).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(taint): phase 5/5 lock Finding.primary_location contract via regression test

Add a regression test in src/taint/ssa_transfer.rs that wires up a synthetic
SsaFuncSummary with a SinkSite at other.rs:42:10 and drives the three
emission stages (pick_primary_sink_sites → emit_ssa_taint_events →
ssa_events_to_findings) against a minimal caller SSA body.  Asserts the
resulting Finding.primary_location is exactly that triple.

The existing integration tests in src/taint/tests.rs cover the coarse
FuncSummary path end-to-end through analyse_file.  This test locks in the
lower-level SSA-side plumbing so a future refactor that silently drops the
site between pick → emit → findings fails here rather than only at the
benchmark layer.

Also refreshes tests/benchmark/results/latest.json (timestamp only; rs-cmdi-003
remains TP/TP/TP and the aggregate P/R/F1 are unchanged from phase 4).

Closes the primary sink-location attribution feature (phases 1-5/5):
* Phase 1 — SinkSite data model on summaries.
* Phase 2 — SinkSite threaded into SsaTaintEvent and Finding.
* Phase 3 — diag + SARIF consume primary_location.
* Phase 4 — benchmark validates primary_call_site_lines across corpus.
* Phase 5 — regression test locks the event→finding contract.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* refactor: clean up formatting and improve readability in multiple files

* refactor: simplify type definition for deduplication key in findings

* test(harness): add must_not_match expectation for FP regression guards

Extends ExpectedFinding with must_not_match field that asserts a
diagnostic must NOT fire — presence is a hard failure. Non-consuming
scan so it coexists with must_match entries on the same rule_id.
Adds forbidden_violations accumulator and updates summary line.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

* feat(regression): update expectations to ensure must_not_match for various taint and resource leak rules

* feat: implement auto-seeding for JS/TS handler parameters to enhance taint tracking

* feat: update switch statement handling to improve control flow analysis

* feat: implement promisify alias handling for JS/TS to enhance taint tracking

* feat: enhance taint tracking by refining expectation handling and adding mode filtering

* feat: refine SQL handling in stream processing and enhance auto-seeding for handler parameters

* feat: update taint tracking rules to enforce full mode matching and improve flow analysis

* feat: enhance Ruby subshell handling to improve taint tracking and flow analysis

* feat: update xss_response expectations to refine taint flow analysis and enhance regression guarding

* feat: refine framework detection and update expectation handling for Echo and Sinatra

* feat: implement max_count for taint tracking expectations and deduplicate findings

* feat: add strict_unexpected handling for taint-unsanitised-flow in expectation files

* feat: enhance deduplication of taint-unsanitised-flow findings by collapsing based on line and severity

* feat: add strict_unexpected handling for taint-unsanitised-flow in multiple expectation files

* feat: add structural invariant checks for SSA bodies

* feat: ensure deterministic phi emission order using BTreeSet

* feat: enhance handling of terminators to ensure authoritative flow through successor edges

* feat: enhance Goto terminator handling to ensure all successors are marked executable

* feat: refactor code for improved readability and organization

* feat: simplify predicate checks and enhance readability in SSA handling

* feat: implement per-file parse timeout and enhance file size handling

* feat: migrate analysis engine toggles from environment variables to configuration file

* feat: remove unnecessary whitespace in hostile_input_tests.rs

* feat: remove unnecessary whitespace in hostile_input_tests.rs

* feat: update dependencies and enhance documentation on language maturity

* feat: enhance security headers and improve request body limits

* feat: implement sink capability bits for deduplication and enhance evidence tagging

* feat: implement dynamic activation handling for gated sinks and enhance validation logic

* feat: enhance configuration documentation and clarify inline analysis cache behavior

* feat: implement panic recovery during analysis to continue scans past errors

* feat: add expectations configuration for taint analysis and performance metrics

* feat: enhance error handling and logging during file reading and mutex locking

* feat: add cross-file body loading tests and plumbing for CF-1 phase

* feat: implement cross-file k=1 context-sensitive inline taint analysis with new tests and fixtures

* feat: implement indexed-scan parity in cross-file inline analysis with new dropdown and copy functionality

* feat: enhance classification span handling in CFG and AST for improved source attribution

* feat: add new Express routes for handling user input and telemetry data

* feat: implement ternary expression handling in CFG with diamond structure for JS/TS

* feat: implement Phase CF-3 abstract-domain transfer channels in summaries

* feat: add support for string-prefix transfer in cross-file calls and update tests

* docs: reduce RESULTS.md doc size

* feat: implement Phase CF-4 per-return-path summary decomposition with tests

* feat: update parameter handling in pass1 and refactor SsaFuncSummary initialization

* feat: implement Phase CF-5 for cross-file SCC joint fixed-point convergence with new flags and tests

* feat: implement Phase CF-6 with parameter-granularity points-to summaries and associated tests

* refactor: update comments and documentation for clarity and consistency

* style: format code for consistency and readability

* refactor: simplify verdict handling and improve edge checking logic

* refactor: optimize path and identifier collection by avoiding unnecessary cloning

* chore: update Cargo.toml for Rust version 1.85 and add ignored files; modify CHANGELOG and README for clarity on state analysis defaults

* refactor: update documentation and improve clarity in configuration files

* refactor: update documentation and improve clarity in configuration files

* feat: add JS/TS pass-2 convergence tests and expectations configuration

* feat: add Phase 5 regression tests for inline cache origin attribution and update related logic

* feat: implement Phase 7 deduplication and alternative path linking for taint findings

* feat: implement structural DFS index for anonymous functions and update naming conventions

* feat: add Phase 8 regression tests for container-element taint in JS and Python

* feat: add engine-depth profiles and explain-engine option for CLI

* feat: update expectations and add new README fixtures for multi-file scan regression

* feat: implement Phase 11 callback-alias and factory patterns with regression tests

* feat: implement Terminator::Switch for multi-way dispatch and add regression tests

* feat: add real-CVE benchmark fixtures for CVE-2023-48022, CVE-2019-14939, and CVE-2023-26159 with corresponding patched variants

* refactor: extract cfg and ssa_transfer to submodules

* refactor: cargo fmt

* refactor: remove unnecessary blank line in cfg_tests.rs

* refactor: remove unnecessary planning file

* chore: update Rust version to 1.88 and bump dependencies in Cargo files

* feat: enhance triage UI with new layout and controls, update README for clarity

* feat: enhance triage UI with new layout and controls, update README for clarity

* chore: remove outdated section from README for version 0.5.0

* docs: improve clarity and consistency in README content

* chore: add "GPL-3.0-or-later" to license options in about.toml

* chore: update license handling in about.toml and check-licenses.mjs

* style: format code for improved readability in TriagePage component

* style: format code for improved readability in TriagePage component

* chore: enhance license handling and improve body_id scoping in seed lookup

* feat: introduce owner and parent body IDs for enhanced seed scoping

* feat: implement direction-aware engine provenance with new CLI flag for strict CI gating

* feat: add Undef SSA operation for improved control-flow handling

* style: improve code formatting for consistency and readability in multiple files

* feat: add 16-function chain SCC across multiple files for enhanced analysis

* style: simplify code formatting for improved readability in multiple files

* fix: update CapHitReason default implementation and improve README clarity

* docs: enhance README with detailed explanations of taint analysis and limitations

* docs: refine README for clarity and consistency in taint analysis section

* style: improve code formatting for better readability in NewScanModal and scans

* fix: update cargo-about command to use --offline for deterministic license generation

* fix: update cargo-about command to use --offline for deterministic license generation

* ci: add step to prime cargo registry cache for deterministic license generation

* feat: add support for non-sink collections in authorization analysis

* feat: enhance authorization checks with row-level ownership equality and binding tracking

* feat: implement self-scoped user handling and enhance ownership checks

* refactor: simplify assertions and formatting in authorization analysis tests

* fix: normalize line endings in THIRDPARTY-LICENSES.html generation and update README with AI disclosure

* docs: update AI disclosure section for clarity and conciseness

* feat: add AI Contribution Policy and update contributing guidelines for AI assistance disclosure

* feat: enhance authorization analysis with SSA-derived variable type classification

* feat: implement auth_finding_to_diag function for enhanced security diagnostics

* feat: add args_value_refs to CallSite struct for enhanced argument tracking

* feat: add args_value_refs to CallSite struct for enhanced argument tracking

* feat: add direction-aware engine provenance with LossDirection classification and new CLI flag

* feat: simplify strip_cap_from_call_args call by removing unnecessary line breaks

* feat: enhance error message handling in cli_validation_tests for better Windows compatibility

* feat: optimize release profile settings in Cargo.toml and update CodeQL configuration

* feat: enhance release build process with SBOM generation and SLSA provenance

* feat: update actions/checkout and actions/setup-node to v6, enhance CLI options, and improve auth-check summaries

* feat: introduce PathFact handling for path safety checks and rejection logic

* feat: introduce PathFact handling for path safety checks and rejection logic

* feat: update benchmark data and enhance path sanitization logic with new safety checks

* feat: document AI assistance in frontend UI development and human review process

* feat: add return path facts for enhanced path safety checks and update documentation

* chore: update release date for version 0.5.0 in CHANGELOG.md

* chore: clean up ci.yml by removing outdated comments and clarifying steps

* feat: implement cross-language path sanitizers and validators for enhanced security

* feat: enhance SSA value usage tracking by including block terminators and improve path safety checks

* feat: enhance switch statement handling by adding per-case path constraints and support for exclusive cases

* refactor: simplify conditional formatting and improve code readability in executor and lower modules

* feat: add vulnerable examples for various languages demonstrating authentication and sanitization issues

* feat: enhance actor context recognition for self-actor identifiers and add support for global non-sink receivers

* feat: enhance actor context recognition for self-actor identifiers and add support for global non-sink receivers

* feat: add transform classifiers for Java, Go, and Ruby with corresponding tests

* refactor: clarify comments on reassign-to-constant idiom and sink behavior in guards.rs

---------

Co-authored-by: Copilot <198982749+Copilot@users.noreply.github.com>
Co-authored-by: Copilot Autofix powered by AI <62310815+github-advanced-security[bot]@users.noreply.github.com>
Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
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#![allow(clippy::collapsible_if)]
use crate::commands::scan::Diag;
use crate::database::index::{Indexer, ScanRecord};
use crate::evidence::Confidence;
use crate::server::app::AppState;
use crate::server::models::{
Insight, NoisyRule, OverviewResponse, ScanSummary, TrendPoint, by_language_from_findings,
compute_fingerprint, summarize_findings, top_directories_from_findings, top_n_from_map,
};
use axum::extract::State;
use axum::routing::get;
use axum::{Json, Router};
use std::collections::{HashMap, HashSet};
pub fn routes() -> Router<AppState> {
Router::new()
.route("/overview", get(overview))
.route("/overview/trends", get(overview_trends))
}
/// GET /api/overview — aggregated dashboard data.
async fn overview(State(state): State<AppState>) -> Json<OverviewResponse> {
// 1. Load latest findings (in-memory → DB fallback)
let findings = crate::server::routes::findings::load_latest_findings(&state);
// 2. Collect recent scans (in-memory + DB, deduped)
let recent_scans = collect_recent_scans(&state, 10);
// 3. Basic summary
let summary = summarize_findings(&findings);
let by_language = by_language_from_findings(&findings);
// 4. Find latest completed scan info
let latest_completed = recent_scans.iter().find(|s| s.status == "completed");
let latest_scan_id = latest_completed.map(|s| s.id.clone());
let latest_scan_at = latest_completed.and_then(|s| s.started_at.clone());
let latest_scan_duration = latest_completed.and_then(|s| s.duration_secs);
// 5. New/fixed since last scan
let (new_since_last, fixed_since_last) = compute_delta(&state, &findings);
// 6. High confidence rate
let high_confidence_rate = if findings.is_empty() {
0.0
} else {
let high_count = findings
.iter()
.filter(|d| d.confidence == Some(Confidence::High))
.count();
high_count as f64 / findings.len() as f64
};
// 7. Triage coverage
let triage_coverage = compute_triage_coverage(&state, &findings);
// 8. Top files, dirs, rules
let top_files = top_n_from_map(&summary.by_file, 10);
let top_directories = top_directories_from_findings(&findings, 10);
let top_rules = top_n_from_map(&summary.by_rule, 10);
// 9. Noisy rules
let noisy_rules = compute_noisy_rules(&state, &findings, &summary.by_rule);
// 10. Insights
let insights = generate_insights(
&summary,
new_since_last,
fixed_since_last,
triage_coverage,
&noisy_rules,
);
// 11. State
let state_str = if recent_scans.iter().all(|s| s.status != "completed") {
"empty".to_string()
} else if is_fresh_scan(latest_completed) {
"fresh".to_string()
} else {
"normal".to_string()
};
Json(OverviewResponse {
state: state_str,
total_findings: summary.total,
new_since_last,
fixed_since_last,
high_confidence_rate,
triage_coverage,
latest_scan_duration_secs: latest_scan_duration,
latest_scan_id,
latest_scan_at,
by_severity: summary.by_severity,
by_category: summary.by_category,
by_language,
top_files,
top_directories,
top_rules,
noisy_rules,
recent_scans: recent_scans.into_iter().take(10).collect(),
insights,
})
}
/// GET /api/overview/trends — scan-over-scan finding counts.
async fn overview_trends(State(state): State<AppState>) -> Json<Vec<TrendPoint>> {
let mut points = Vec::new();
if let Some(ref pool) = state.db_pool {
if let Ok(idx) = Indexer::from_pool("_scans", pool) {
if let Ok(scans) = idx.list_scans(20) {
let completed: Vec<&ScanRecord> =
scans.iter().filter(|s| s.status == "completed").collect();
// Cap at 10 for performance
for scan in completed.iter().rev().take(10) {
let total = scan.finding_count.unwrap_or(0) as usize;
let by_severity = scan
.findings_json
.as_deref()
.and_then(|json| serde_json::from_str::<Vec<Diag>>(json).ok())
.map(|diags| {
let mut sev: HashMap<String, usize> = HashMap::new();
for d in &diags {
*sev.entry(d.severity.as_db_str().to_string()).or_insert(0) += 1;
}
sev
})
.unwrap_or_default();
points.push(TrendPoint {
scan_id: scan.id.clone(),
timestamp: scan.started_at.clone().unwrap_or_default(),
total,
by_severity,
});
}
}
}
}
Json(points)
}
// ── Helpers ──────────────────────────────────────────────────────────────────
/// Collect recent scans from in-memory jobs + DB, deduped by ID.
fn collect_recent_scans(state: &AppState, limit: usize) -> Vec<ScanSummary> {
let mut seen = HashSet::new();
let mut scans = Vec::new();
// In-memory first
for job in state.job_manager.list_jobs() {
if seen.insert(job.id.clone()) {
scans.push(ScanSummary {
id: job.id.clone(),
status: format!("{:?}", job.status).to_ascii_lowercase(),
started_at: job.started_at.map(|t| t.to_rfc3339()),
duration_secs: job.duration_secs,
finding_count: job.findings.as_ref().map(|f| f.len() as i64),
});
}
}
// DB fallback
if let Some(ref pool) = state.db_pool {
if let Ok(idx) = Indexer::from_pool("_scans", pool) {
if let Ok(records) = idx.list_scans(limit as i64) {
for r in records {
if seen.insert(r.id.clone()) {
scans.push(ScanSummary {
id: r.id,
status: r.status,
started_at: r.started_at,
duration_secs: r.duration_secs,
finding_count: r.finding_count,
});
}
}
}
}
}
// Sort by started_at descending
scans.sort_by(|a, b| b.started_at.cmp(&a.started_at));
scans.truncate(limit);
scans
}
/// Compute new/fixed finding counts by comparing the two most recent completed scans.
fn compute_delta(state: &AppState, current_findings: &[Diag]) -> (usize, usize) {
if current_findings.is_empty() {
return (0, 0);
}
let current_fps: HashSet<String> = current_findings.iter().map(compute_fingerprint).collect();
// Find previous completed scan's findings
let previous_fps = load_previous_scan_fingerprints(state);
if previous_fps.is_empty() {
return (0, 0);
}
let new_count = current_fps.difference(&previous_fps).count();
let fixed_count = previous_fps.difference(&current_fps).count();
(new_count, fixed_count)
}
/// Load fingerprints from the second-most-recent completed scan.
fn load_previous_scan_fingerprints(state: &AppState) -> HashSet<String> {
if let Some(ref pool) = state.db_pool {
if let Ok(idx) = Indexer::from_pool("_scans", pool) {
if let Ok(scans) = idx.list_scans(10) {
let completed: Vec<&ScanRecord> = scans
.iter()
.filter(|s| s.status == "completed" && s.findings_json.is_some())
.collect();
// Skip the first (latest) completed scan — we want the previous one
if let Some(prev) = completed.get(1) {
if let Some(json) = prev.findings_json.as_deref() {
if let Ok(diags) = serde_json::from_str::<Vec<Diag>>(json) {
return diags.iter().map(compute_fingerprint).collect();
}
}
}
}
}
}
HashSet::new()
}
/// Compute triage coverage: fraction of findings with non-"open" triage state.
fn compute_triage_coverage(state: &AppState, findings: &[Diag]) -> f64 {
if findings.is_empty() {
return 0.0;
}
let Some(ref pool) = state.db_pool else {
return 0.0;
};
let Ok(idx) = Indexer::from_pool("_scans", pool) else {
return 0.0;
};
let triage_map = idx.get_all_triage_states().unwrap_or_default();
let suppression_rules = idx.get_suppression_rules().unwrap_or_default();
let mut non_open = 0usize;
for d in findings {
let fp = compute_fingerprint(d);
// Check explicit triage state
if let Some((triage_state, _, _)) = triage_map.get(&fp) {
if triage_state != "open" {
non_open += 1;
continue;
}
}
// Check suppression rules
let path = &d.path;
let rule_id = &d.id;
for rule in &suppression_rules {
let matches = match rule.suppress_by.as_str() {
"fingerprint" => fp == rule.match_value,
"rule" => *rule_id == rule.match_value,
"rule_in_file" => {
let key = format!("{rule_id}:{path}");
key == rule.match_value
}
"file" => *path == rule.match_value,
_ => false,
};
if matches {
non_open += 1;
break;
}
}
}
non_open as f64 / findings.len() as f64
}
/// Compute noisy rules: high finding count + high suppression rate.
fn compute_noisy_rules(
state: &AppState,
findings: &[Diag],
by_rule: &HashMap<String, usize>,
) -> Vec<NoisyRule> {
let Some(ref pool) = state.db_pool else {
return vec![];
};
let Ok(idx) = Indexer::from_pool("_scans", pool) else {
return vec![];
};
let triage_map = idx.get_all_triage_states().unwrap_or_default();
let suppression_rules = idx.get_suppression_rules().unwrap_or_default();
// Count suppressed findings per rule
let mut suppressed_per_rule: HashMap<String, usize> = HashMap::new();
for d in findings {
let fp = compute_fingerprint(d);
let is_suppressed = triage_map
.get(&fp)
.map(|(s, _, _)| s == "suppressed" || s == "false_positive")
.unwrap_or(false)
|| suppression_rules
.iter()
.any(|rule| match rule.suppress_by.as_str() {
"fingerprint" => fp == rule.match_value,
"rule" => d.id == rule.match_value,
"rule_in_file" => format!("{}:{}", d.id, d.path) == rule.match_value,
"file" => d.path == rule.match_value,
_ => false,
});
if is_suppressed {
*suppressed_per_rule.entry(d.id.clone()).or_insert(0) += 1;
}
}
let mut noisy: Vec<NoisyRule> = by_rule
.iter()
.filter_map(|(rule_id, &count)| {
if count < 3 {
return None;
}
let suppressed = suppressed_per_rule.get(rule_id).copied().unwrap_or(0);
let rate = suppressed as f64 / count as f64;
if rate >= 0.5 {
Some(NoisyRule {
rule_id: rule_id.clone(),
finding_count: count,
suppression_rate: rate,
})
} else {
None
}
})
.collect();
noisy.sort_by_key(|b| std::cmp::Reverse(b.finding_count));
noisy
}
/// Generate actionable insights from overview data.
fn generate_insights(
summary: &crate::server::models::FindingSummary,
new_since_last: usize,
fixed_since_last: usize,
triage_coverage: f64,
noisy_rules: &[NoisyRule],
) -> Vec<Insight> {
let mut insights = Vec::new();
// Untriaged high findings
let high_count = summary.by_severity.get("HIGH").copied().unwrap_or(0);
if high_count > 0 {
insights.push(Insight {
kind: "untriaged_high".into(),
message: format!(
"{high_count} High severity finding{} to review",
if high_count == 1 { "" } else { "s" }
),
severity: "warning".into(),
action_url: Some("/findings?severity=HIGH&status=open".into()),
});
}
// New findings since last scan
if new_since_last > 0 {
insights.push(Insight {
kind: "new_findings".into(),
message: format!(
"{new_since_last} new finding{} since last scan",
if new_since_last == 1 { "" } else { "s" }
),
severity: "warning".into(),
action_url: Some("/findings".into()),
});
}
// Fixed findings since last scan
if fixed_since_last > 0 {
insights.push(Insight {
kind: "fixed_findings".into(),
message: format!(
"{fixed_since_last} finding{} fixed since last scan",
if fixed_since_last == 1 { "" } else { "s" }
),
severity: "success".into(),
action_url: None,
});
}
// Noisy rules
for rule in noisy_rules.iter().take(3) {
insights.push(Insight {
kind: "noisy_rule".into(),
message: format!(
"Rule {} has {:.0}% suppression rate ({} findings)",
rule.rule_id,
rule.suppression_rate * 100.0,
rule.finding_count
),
severity: "info".into(),
action_url: Some("/rules".into()),
});
}
// Low triage coverage
if triage_coverage < 0.1 && summary.total > 20 {
insights.push(Insight {
kind: "low_triage".into(),
message: format!(
"Only {:.0}% of findings have been triaged",
triage_coverage * 100.0
),
severity: "info".into(),
action_url: Some("/triage".into()),
});
}
insights
}
/// Check if the latest scan completed within the last 5 minutes.
fn is_fresh_scan(scan: Option<&ScanSummary>) -> bool {
let Some(scan) = scan else { return false };
let Some(ref started_at) = scan.started_at else {
return false;
};
if let Ok(ts) = chrono::DateTime::parse_from_rfc3339(started_at) {
let elapsed = chrono::Utc::now() - ts.with_timezone(&chrono::Utc);
return elapsed.num_seconds() < 300;
}
false
}