CVE-2026-55747 (GCVE-0-2026-55747)

Vulnerability from cvelistv5 – Published: 2026-08-05 06:58 – Updated: 2026-08-10 11:44
VLAI
Title
PocketFlow - Path Traversal in pocketflow-coding-agent Cookbook Example File Tools
Summary
The pocketflow-coding-agent cookbook example in The-Pocket/PocketFlow implements a helper as a thin os.path.join(workdir, p) wrapper with no canonicalization or containment check, used unguarded by the ReadFile, ListFiles, PatchRead, and PatchApply file-access tools. Severity reflects that this affects an illustrative cookbook example rather than a core library API; applications that copy this pattern into production are affected.
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-05 13:12 UTC
CWE
References
URL Tags
https://github.com/The-Pocket/PocketFlow third-party-advisory
Date Public
2026-08-05 06:58
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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