* chore: Exclude CLAUDE.md from Cargo.toml

* feat: add callgraph module and integrate into main analysis flow

* feat: enhance CLI with new severity filtering and analysis modes

* feat: update CHANGELOG with recent enhancements and fixes to severity filtering and output handling

* feat: implement state-model dataflow analysis for resource lifecycle and auth state

* feat: enhance diagnostic output formatting and add evidence structure

* feat: implement attack surface ranking for diagnostics with scoring and sorting

* feat: add comprehensive documentation for installation, usage, and rules reference

* feat: add multiple language support for command execution and evaluation endpoints

* feat: implement inline suppression for findings using `nyx:ignore` comments

* feat: add confidence levels to AST patterns and update output structure

* feat: implement low-noise prioritization system with category filtering, rollup grouping, and configurable budgets

* feat: bump version to 0.4.0 and update changelog with new features and improvements

* feat: add dead code allowances to various functions in mod.rs and real_world_tests.rs
This commit is contained in:
Eli Peter 2026-02-25 21:16:36 -05:00 committed by GitHub
parent 19b578c5c4
commit 1bbe4b1cfb
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456 changed files with 25628 additions and 1228 deletions

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{
"description": "Flask handler passes user input directly to subprocess.run with shell=True",
"tags": [
"taint",
"cmdi",
"flask",
"subprocess"
],
"modes": [
"full"
],
"expected": [
{
"rule_id": "taint-unsanitised-flow",
"severity": null,
"must_match": true,
"line_range": [
6,
12
],
"evidence_contains": [],
"notes": "request.args.get('cmd') flows directly into subprocess.run with shell=True"
}
]
}

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from flask import Flask, request
import subprocess
app = Flask(__name__)
@app.route('/run')
def run_cmd():
cmd = request.args.get('cmd')
result = subprocess.run(cmd, shell=True, capture_output=True)
return result.stdout.decode()
@app.route('/run-safe')
def run_cmd_safe():
cmd = request.args.get('cmd')
allowed = ['ls', 'date', 'whoami']
if cmd not in allowed:
return 'Not allowed', 403
result = subprocess.run([cmd], capture_output=True)
return result.stdout.decode()

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{
"description": "eval() called with user-controlled input from Flask request",
"tags": [
"taint",
"code-exec",
"eval",
"flask"
],
"modes": [
"full"
],
"expected": [
{
"rule_id": "py.code_exec.eval",
"severity": null,
"must_match": true,
"line_range": [
6,
10
],
"evidence_contains": [],
"notes": "eval() is an AST-level dangerous function pattern"
},
{
"rule_id": "taint-unsanitised-flow",
"severity": null,
"must_match": true,
"line_range": [
5,
11
],
"evidence_contains": [],
"notes": "request.args.get('expr') flows directly into eval()"
}
]
}

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from flask import Flask, request
app = Flask(__name__)
@app.route('/calc')
def calculate():
expr = request.args.get('expr')
result = eval(expr)
return str(result)

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{
"description": "Path traversal via user-controlled filename passed to send_file",
"tags": [
"taint",
"path-traversal",
"flask",
"file-io"
],
"modes": [
"full"
],
"expected": [
{
"rule_id": "taint-unsanitised-flow",
"severity": null,
"must_match": true,
"line_range": [
6,
12
],
"evidence_contains": [],
"notes": "request.args.get('file') flows into os.path.join then send_file without validation"
}
]
}

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from flask import Flask, request, send_file
import os
app = Flask(__name__)
@app.route('/download')
def download():
filename = request.args.get('file')
filepath = os.path.join('/uploads', filename)
return send_file(filepath)
@app.route('/download-safe')
def download_safe():
filename = request.args.get('file')
filepath = os.path.join('/uploads', filename)
realpath = os.path.realpath(filepath)
if not realpath.startswith('/uploads'):
return 'Forbidden', 403
return send_file(realpath)

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{
"description": "Pickle deserialization of user-supplied base64 data",
"tags": [
"taint",
"deser",
"pickle",
"flask"
],
"modes": [
"full",
"ast"
],
"expected": [
{
"rule_id": "py.deser.pickle_loads",
"severity": null,
"must_match": true,
"line_range": [
9,
13
],
"evidence_contains": [],
"notes": "pickle.loads on user-controlled data enables arbitrary code execution"
},
{
"rule_id": "taint-unsanitised-flow",
"severity": null,
"must_match": false,
"line_range": [
7,
14
],
"evidence_contains": [],
"notes": "User data flows through base64 decode into pickle.loads - aspirational taint finding"
}
]
}

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from flask import Flask, request
import pickle
import base64
app = Flask(__name__)
@app.route('/load', methods=['POST'])
def load_object():
data = request.get_data()
decoded = base64.b64decode(data)
obj = pickle.loads(decoded)
return str(obj)

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{
"description": "SQL injection via string concatenation with user input in cursor.execute",
"tags": [
"taint",
"sqli",
"flask",
"sqlite"
],
"modes": [
"full"
],
"expected": [
{
"rule_id": "taint-unsanitised-flow",
"severity": null,
"must_match": true,
"line_range": [
6,
14
],
"evidence_contains": [],
"notes": "request.args.get('id') concatenated directly into SQL query string"
},
{
"rule_id": "taint-unsanitised-flow",
"severity": null,
"must_match": false,
"line_range": [
14,
22
],
"evidence_contains": [],
"notes": "Safe version uses parameterized query - should not trigger"
}
]
}

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from flask import Flask, request
import sqlite3
app = Flask(__name__)
@app.route('/user')
def get_user():
user_id = request.args.get('id')
conn = sqlite3.connect('app.db')
cursor = conn.cursor()
cursor.execute("SELECT * FROM users WHERE id = " + user_id)
return str(cursor.fetchall())
@app.route('/user-safe')
def get_user_safe():
user_id = request.args.get('id')
conn = sqlite3.connect('app.db')
cursor = conn.cursor()
cursor.execute("SELECT * FROM users WHERE id = ?", (user_id,))
return str(cursor.fetchall())

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{
"description": "Unsafe YAML deserialization with yaml.load vs safe yaml.safe_load",
"tags": [
"taint",
"deser",
"yaml",
"flask"
],
"modes": [
"full",
"ast"
],
"expected": [
{
"rule_id": "py.deser.yaml_load",
"severity": null,
"must_match": true,
"line_range": [
7,
11
],
"evidence_contains": [],
"notes": "yaml.load with FullLoader is unsafe with user-controlled data"
},
{
"rule_id": "taint-unsanitised-flow",
"severity": null,
"must_match": false,
"line_range": [
6,
12
],
"evidence_contains": [],
"notes": "User data flows into yaml.load - aspirational taint finding"
}
]
}

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from flask import Flask, request
import yaml
app = Flask(__name__)
@app.route('/parse', methods=['POST'])
def parse_config():
data = request.get_data()
config = yaml.load(data, Loader=yaml.FullLoader)
return str(config)
@app.route('/parse-safe', methods=['POST'])
def parse_config_safe():
data = request.get_data()
config = yaml.safe_load(data)
return str(config)