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VulnerabilityPublished

CVE-2026-119204: Rapid mlx · pypdf has possible large memory usage when parsing page tree

Affects rapid-mlxSource GCVE Database

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Authoritative record:CVE-2026-119204· High 7.1

Not known to be exploited · CVSS 7.1 High · fixed in 6.21.4 : patch rapid-mlx soon.

Data as of 31 Oct 2026, 16:35 UTC

CVSS 4.0 base score
7.1High
How severe the flaw is on the 0–10 CVSS scale.

Thin evidence

One scorer or none
CVSS scores by source
CNA (GitHub_M)CVSS 4.07.1
Patch
Available – fixed in 6.21.4
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:P/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 29 Oct 2026

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponized: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

What to do

Affected software

ProductAffectedFixed in
Homebrewrapid-mlxpkg:brew/rapid-mlxOther threatsAffected
  • >=0.16.4
Fixed in–

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Upgrade to pypdf version 6.21.4 or later to apply the official fix. If immediate upgrade is not possible, apply the changes from pull request #4290 as a temporary workaround.

Description

A vulnerability in pypdf allows crafted PDF files with complex page trees and many shared resources to cause large memory usage during parsing. This can lead to resource exhaustion on affected systems. The issue is fixed in pypdf version 6.21.4. Users unable to upgrade immediately can apply the changes from the referenced pull request as a workaround.

References

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