PyPI / aiobotocore / 3.9.2
aiobotocore 3.9.2
- Source
- https://github.com/aio-libs/aiobotocore
- Tag scanned
3.9.2- Compared with
3.9.1(0 signals introduced since)- Files
- 147 scanned, 34 skipped (binary, oversized, or unrecognised)
- Signals
- 0 critical · 0 warn · 4 info
- Scan time
- 3.7 s
- LLM review
- Reviewed by claude-haiku-5-5 (Anthropic): 4 of 4 warn and critical signals; 4 demoted to info.
- Disclude version
- 4.0.0
- Scanned (UTC)
- 2026-10-14 18:14
Signals
Ordered by severity, then signals introduced in this release. Hidden characters are shown as ⟨U+…⟩.
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dismissed Changelog entry containing a GitHub diff URL whose anchor hash tripped the base64 heuristic.
Reasoning
The flagged blob is a long URL fragment in a changelog bullet (a GitHub diff anchor like #diff-b1675e...R162-R181). Hex-like diff hash in a URL is a false positive of base64 heuristic in documentation prose.
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info
warn→ info by reviewpayload-bytes-literaltests/botocore_tests/unit/test_eventstream.py:149:9likely benign Test fixture encoding a binary AWS event-stream message as escaped bytes.Reasoning
This is a test fixture for AWS event-stream binary protocol parsing (prelude, header type bytes, lengths). Binary payload literals are expected in a parser test suite for botocore/aiobotocore; no execution or obfuscation behavior is present.
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info
warn→ info by reviewpayload-bytes-literaltests/botocore_tests/unit/test_eventstream.py:350:9=likely benign Test fixture of event-stream headers encoded as byte escapes for unit testing.Reasoning
Same context as the sibling fixture: header bytes for event-stream parsing tests in a botocore-derived test module. The escapes encode protocol structure, not hidden code.
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b, b b blikely benign Test data containing a binary event-stream frame with embedded XML payload.Reasoning
Concatenated bytes literals encode AWS event-stream frames with XML stats payload for a parser test. Consistent with legitimate protocol test data; no decoding or execution follows.
Reproduce This Scan
Run disclude locally to verify. Add --format sarif for SARIF output. Add --llm (with an API key in the environment) to include the LLM review.
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