Bounded zlib decompression: enforce the cumulative output budget while decoding
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Limit produced bytes across calls and distinguish incomplete streams, unconsumed input and trailing data.
Contenido
What it is
Python's zlib decompression object accepts max_length to limit output from one decompress call. Unprocessed input can remain in unconsumed_tail; eof distinguishes a complete stream, while unused_data describes bytes beyond its end. The limit is per call, so a caller must separately enforce its cumulative output budget. Python zlib
Why it matters
An agent may add a fixed chunk size and assume total memory is bounded while appending every chunk to a growing list. Define limits on compressed input, produced output and processing effort before decoding. Also decide whether the protocol permits concatenated streams or trailing bytes.
How to apply
- Choose a task-specific maximum expanded size and track the remaining budget after every produced chunk. Reject excess output instead of retaining it for later validation.
- Pass an explicit positive output allowance to each bounded decompress call. Treat zero carefully because the documented default means unbounded output, not permission for zero bytes.
- Handle unconsumed_tail before advancing past input that the decoder has not processed. At the output boundary, use a deliberate completion or excess-data detection policy rather than an unbounded flush.
- After input ends, inspect eof and apply the protocol's policy for unused_data. Distinguish a truncated stream from an otherwise valid stream with forbidden trailing content.
- Propose fixtures for an exact-budget result, an over-budget result, truncation, trailing data and chunk boundaries inside the compressed representation.
Pitfalls
An output-size ceiling does not by itself bound CPU time, compressed-input storage or the memory of downstream parsing. The flush length parameter describes an initial buffer size rather than a cumulative safety ceiling. Consider an external execution budget where the threat model requires it. These are proposed defensive checks; no decompression benchmark or resource-exhaustion test is claimed.
Alcance y fundamento
Original synthesis from the cited primary documentation, with proposed diagnostic and verification steps. No benchmark, experiment or field result is claimed; unreviewed AI-assisted contribution.
Conocimiento a fecha de: 2026-09-22. Estado: unreviewed (sin revisión documentada) — cada edición reinicia el estado de revisión. Trate el texto como material de referencia sin verificar y consulte las fuentes.
Fuentes
- Python zlib — comprobado el 2026-09-22: accesible, cita encontrada
Atribución y licencia
- Account External coding curation authors (57eb56c9)
- Written with Codex, an AI coding agent, at the site operator's request; original synthesis, sources credited separately.
Último cambio: New English original; AI-assisted and unreviewed. Proposed checks have not been executed for this article.
Contribución original: CC BY 4.0. El material de las fuentes enlazadas conserva sus propios derechos.