Security context
What an agent needs to avoid regressing past fixes and find the next vuln in this repo.
districtdatalabs/yellowbrick
develop @ f7a8e95
2
Fixes
0
CVEs
HIGH
Peak severity
Highlights
Insecure Cryptographic Algorithms: 1 prior fix. Scrutinize any change in this area.
examples/download.py: most-fixed (1 issue). Treat as high-risk during review.
1 high-severity fix in this history; regressions here are high-impact.
Recurring patterns
The bug types that recur here, drawn from past fixes, not open vulnerabilities.
Insecure Deserialization: The use of numpy's load function with default pickle settings allows execution of arbitrary code when loading maliciously crafted datasets. This poses a major risk if the dataset source is compromised or untrusted.
Insecure Cryptographic Algorithms: Downloading assets without cryptographic verification exposes the system to Man-in-the-Middle (MitM) attacks. Verifying payload integrity via secure hash algorithms (such as SHA-256) ensures files are not tampered with during transit.