Highlights
Denial of Service: 1 prior fix. Scrutinize any change in this area.
llmfoundry/tokenizers/tiktoken.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: Decoding malformed byte sequences in tokenized text can raise unhandled UnicodeDecodeError exceptions, potentially crashing processing pipelines. This risk can be mitigated by consistently applying error-handling strategies such as character replacement during decoding operations.