GHSA-JFQQ-RFM8-8FRM
Vulnerability from github – Published: 2026-08-17 21:31 – Updated: 2026-08-17 21:31
VLAI
Details
hashcat master branch builds after v7.1.2 contain a heap buffer overflow vulnerability in the KeePass AESKDF/KDBX v4 module (module 34301) that allows attackers to corrupt adjacent heap memory by supplying an oversized ninth hash field token. The module accepts up to 600 hex characters for the ninth token field but decodes it into a fixed 256-byte buffer with no length check, allowing a maximal input to write up to 44 bytes past the buffer boundary into adjacent esalt fields and heap chunk metadata, potentially enabling heap corruption or memory access violations.
Severity
6.1 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-68765"
],
"database_specific": {
"cwe_ids": [
"CWE-122"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-17T21:16:48Z",
"severity": "MODERATE"
},
"details": "hashcat master branch builds after v7.1.2 contain a heap buffer overflow vulnerability in the KeePass AESKDF/KDBX v4 module (module 34301) that allows attackers to corrupt adjacent heap memory by supplying an oversized ninth hash field token. The module accepts up to 600 hex characters for the ninth token field but decodes it into a fixed 256-byte buffer with no length check, allowing a maximal input to write up to 44 bytes past the buffer boundary into adjacent esalt fields and heap chunk metadata, potentially enabling heap corruption or memory access violations.",
"id": "GHSA-jfqq-rfm8-8frm",
"modified": "2026-08-17T21:31:26Z",
"published": "2026-08-17T21:31:26Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-68765"
},
{
"type": "WEB",
"url": "https://github.com/hashcat/hashcat/pull/4755"
},
{
"type": "WEB",
"url": "https://github.com/hashcat/hashcat/commit/6f374c4ff7d5dc951530fbbbcf6b45e3c169b100"
},
{
"type": "WEB",
"url": "https://github.com/hashcat/hashcat"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/hashcat-keepass-kdbx-v4-module-heap-buffer-overflow-via-token-field"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:L/AC:L/AT:N/PR:H/UI:A/VC:N/VI:L/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
Loading…
Loading…
Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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.
Loading…
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.
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.
Loading…
Loading…