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  4. CVE 2025 55197 pypdfs manipulated flatedecode streams can
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Back to active CVEs
Unknown severity · Source severity not reportedCVE-2025-55197GHSA-7HFW-26VP-JP8M

PyPDF's Manipulated FlateDecode streams can exhaust RAMCVE-2025-55197

Answer in brief

CVE-2025-55197 records a Unknown severity vulnerability in PyPDF's Manipulated FlateDecode streams can exhaust RAM. The current sources do not mark it as known exploited. The current feed maps pypdf (pypi). Check affected ranges and fixed versions before updating.

Analysis pending evidence review

HOL Guard separates source facts from reviewed analysis. See the methodology.

Published Aug 13, 2025Updated Sep 10, 2026Source checked Oct 25, 2026First seen by HOL Aug 8, 2026Material review Sep 10, 2026
Upstream Advisory

Key facts

Risk
Unknown severitySource severity not reported
Exploitation
Not marked as known exploited
Affected software
1 mapped package or product
Fix availability
Available

Why this deserves its current priority

A CVSS score is not reported in the current record. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.

Analysis status

Analysis pending evidence review

Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.

Affected scope and exposure questions

The current feed maps pypdf (pypi). Check affected ranges and fixed versions before updating.

Mapped affected packages and fixed versions
PackageAffected rangeFixed version
pypdfpypi>=0 <6.0.06.0.0

Recommended response

  1. 1Check inventory. Check lockfiles and deployed manifests for pypdf.
  2. 2Review the reported fix. Update pypdf to 6.0.0 if you use the affected versions. Test the change in a non-production environment first.

Evidence timeline and material changes

  1. Published upstream

    Aug 13, 2025

    Evidence: source:osv:source_dates:source-dates:record
  2. Source modified

    Sep 10, 2026

    Evidence: source:osv:source_dates:source-dates:record
  3. First seen by HOL

    Aug 8, 2026

Sources and claim methodology

  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
  • GitHub security advisorygithub.com
  • NVD vulnerability recordnvd.nist.gov
Upstream source description

### Impact An attacker who uses this vulnerability can craft a PDF which leads to the RAM being exhausted. This requires just reading the file if a series of FlateDecode filters is used on a malicious cross-reference stream. Other content streams are affected on explicit access. ### Patches This has been fixed in [pypdf==6.0.0](https://github.com/py-pdf/pypdf/releases/tag/6.0.0). ### Workarounds If you cannot upgrade yet, you might want to implement the workaround for `pypdf.filters.decompress` yourself: https://github.com/py-pdf/pypdf/blob/0dd57738bbdcdb63f0fb43d8a6b3d222b6946595/pypdf/filters.py#L72-L143 ### References This issue has been reported in #3429 and fixed in #3430.

Quoted source text, attributed separately from HOL analysis.

Record context

Vulnerability class
Vulnerability
EPSS
Not reported
CWE IDs
Not reported
Source
OSV
Source checked
Oct 25, 2026
References
7 linked sources
Open source record