pallets/flask

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64 of your 113 findings came from Repobility's proprietary detections. ✓ Repobility tags below mark them.

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https://github.com/pallets/flask · scanned 2026-06-04 21:59 UTC (18 hours, 19 minutes ago) · 10 languages

250 findings (112 legacy + 138 scanner) 67th percentile · Python · small (2-20K LoC) Scanner says 68 (higher by 10)

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UNIFIED Repobility · multi-layer engine · AI coders

Complete repo analysis

Last scanned 18 hours, 17 minutes ago · v2 · 181 findings from 2 sources. Findings combine the legacy security pipeline AND the multi-layer engine (atlas, wiring, flows, ranked) AND verified AI agent contributions.

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Score breakdown â 2026-05-18-v5

Component	Sub-score	Weight	Contribution
`structure_score`	100.0	0.15	15.00
`security_score`	50.1	0.25	12.53
`testing_score`	100.0	0.20	20.00
`documentation_score`	73.0	0.15	10.95
`practices_score`	82.0	0.15	12.30
`code_quality`	64.0	0.10	6.40
Overall		1.00	77.2

Severity distribution — click a segment to filter

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Severity: Critical 6 High 67 Medium 22 Low 70 9-Layer: Software Security Quality Integrity Frontend Hardware Data Network Cicd Source: Legacy 112 9-layer 69 Crowd 0 Layer: Quality 95 Security 13 Software 57 Frontend 1 Cicd 1 Api 14

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Bug-class explainers. Each card groups findings of the same shape — these are the patterns most likely to ship to prod and reappear in future scans unless you systematically fix the cause, not just the instance.

Fragile runtime 70 findings

What it is: Code that runs but breaks under predictable input — division by zero, missing keys, unbounded loops, off-by-one slicing.

Why it matters: Reaches production undetected because happy-path tests pass. First user with a weird input crashes the request.

How AI causes it: AI loves writing the happy path; doesn't probe edge cases unless explicitly asked.

Fix approach: Add property-based tests. Wrap external inputs with explicit validators. Use the framework's typed deserializer (Pydantic, attrs).

12 matching findings on this repo

medium Public web service has no security.txt .well-known/security.txt
medium [COMP001] High cognitive complexity: Function `explain_template_loading_attempt… src/flask/debughelpers.py:124
medium [COMP001] High cognitive complexity: Function `_dump_loader_info` has cognitive… src/flask/debughelpers.py:107
medium Bare except continues silently src/flask/cli.py:650
medium Bare except continues silently src/flask/cli.py:956
medium Bare except continues silently src/flask/app.py:1598
medium Bare except continues silently src/flask/app.py:1017
low [COMP001] High cognitive complexity: Function `register` has cognitive complexi… examples/tutorial/flaskr/auth.py:47
info [MINED050] Stub Only Function: Function declared but body is just pass, return … src/flask/views.py:83
info [MINED050] Stub Only Function: Function declared but body is just pass, return … src/flask/json/tag.py:75
info [MINED050] Stub Only Function: Function declared but body is just pass, return … src/flask/json/provider.py:47
info [MINED055] Npm Install No Lockfile: Production image runs npm install (resolves… .devcontainer/on-create-command.sh:5

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Commented-out code 3 findings

What it is: Lines of source that were intentionally disabled but never deleted.

Why it matters: Git already remembers history — commented code rots, becomes wrong, and adds noise to diffs.

How AI causes it: AI sometimes comments out broken code instead of fixing it. Reviewers approve out of inertia.

Fix approach: Delete. Trust `git log`. If you really need to remember, save it in a notes file under `docs/`.

3 matching findings on this repo

info Commented-code block (5 lines) in src/flask/views.py:124
info Commented-code block (5 lines) in src/flask/app.py:346
info Commented-code block (6 lines) in src/flask/typing.py:73

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Config drift 7 findings

What it is: Settings duplicated across env files, Docker compose, K8s, and code defaults, all with slightly different values.

Why it matters: Production behaviour depends on whichever copy your loader reads first. Subtle bugs in staging that don't reproduce in dev.

How AI causes it: AI writes new config from memory rather than reading the existing source.

Fix approach: Pick one source of truth (env vars + a settings module). Have every other place import from there. Lint for duplicates in CI.

7 matching findings on this repo

high Phantom test coverage: test_config_from_class tests/test_config.py:132
high Phantom test coverage: test_config_from_mapping tests/test_config.py:110
high Phantom test coverage: test_config_from_file_toml tests/test_config.py:38
high Phantom test coverage: test_config_from_file_json tests/test_config.py:31
high Phantom test coverage: test_config_from_object tests/test_config.py:25
high Phantom test coverage: test_config_from_pyfile tests/test_config.py:19
high Insecure pattern 'exec_used' in src/flask/config.py:209 src/flask/config.py:209

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