Security context
What an agent needs to avoid regressing past fixes and find the next vuln in this repo.
tensorflow/agents
master @ eb24cf5
1
Fixes
0
CVEs
LOW
Peak severity
0.0%
Coverage
Highlights
Denial of Service: 1 prior fix. Scrutinize any change in this area.
tf_agents/bandits/policies/ranking_policy.py: most-fixed (1 issue). Treat as high-risk during review.
0 high-severity fixes in this history; regressions here are high-impact.
Recurring patterns
The bug types that recur here, drawn from past fixes, not open vulnerabilities.
Denial of Service: The ranking policy implementation is vulnerable to division-by-zero errors when handling non-positive temperature values, allowing malformed configurations or inputs to trigger denial of service during runtime evaluation. Ensure that logits_temperature is strictly validated as positive.