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GHSA-P5F7-36QG-83FR

Vulnerability from github – Published: 2026-11-03 09:31 – Updated: 2026-11-03 09:31

Details

Out-of-bounds read vulnerabilities in the pybddisasm Python bindings may disclose adjacent process memory during instruction decoding. The nd_decode function may read up to 15 bytes without checking the actual length of the supplied Python buffer. The nd_decode_ex, nd_decode_ex2, and nd_decode_with_context functions pass the caller-supplied buffer size to the decoder without validating it against the actual length of the Python buffer. Data read beyond the buffer may be exposed through nd_get_instrux_bytes, which returns a fixed-length list of 16 bytes. Exploitation requires an application to invoke the affected APIs with a short buffer or an oversized length and to expose the resulting bytes to an attacker. The pybddisasm package is no longer maintained.

Severity

4.8 (Medium)


                  
                    CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

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    "CVE-2026-118444"
  ],
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    "cwe_ids": [
      "CWE-125"
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    "severity": "MODERATE"
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  "details": "Out-of-bounds read vulnerabilities in the pybddisasm Python bindings may disclose adjacent process memory during instruction decoding. The nd_decode function may read up to 15 bytes without checking the actual length of the supplied Python buffer. The nd_decode_ex, nd_decode_ex2, and nd_decode_with_context functions pass the caller-supplied buffer size to the decoder without validating it against the actual length of the Python buffer. Data read beyond the buffer may be exposed through nd_get_instrux_bytes, which returns a fixed-length list of 16 bytes. Exploitation requires an application to invoke the affected APIs with a short buffer or an oversized length and to expose the resulting bytes to an attacker. The pybddisasm package is no longer maintained.",
  "id": "GHSA-p5f7-36qg-83fr",
  "modified": "2026-11-03T09:31:45Z",
  "published": "2026-11-03T09:31:45Z",
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      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-118444"
    },
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      "url": "https://pypi.org/project/pybddisasm"
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  "schema_version": "1.4.0",
  "severity": [
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}

CVE-2026-118444 (GCVE-0-2026-118444)

Vulnerability from cvelistv5 – Published: 2026-11-03 09:00 – Updated: 2026-11-03 18:32 Unsupported When Assigned

Title

Out-of-bounds reads during instruction decoding in pybddisasm

Summary

Severity

4.8 (Medium)


                        
                          CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-11-03 17:24 UTC

CWE

CWE-125 - Out-of-bounds Read

Assigner

Bitdefender CNA under the mitre root

CNA scorecard – unranked: 8 records in the last 180 days, 10 needed details

References

1 reference

URL	Tags
https://pypi.org/project/pybddisasm/

Impacted products

1 product

Vendor	Product	Version
Bitdefender	pybddisasm	Affected: 0 , ≤ 0.3.0 (python)

Credits

sl4x0

Show details on NVD website

JSON

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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.

Vulnerability timeline

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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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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