GHSA-46VH-7XWV-8RRP
Vulnerability from github – Published: 2026-08-11 15:32 – Updated: 2026-08-11 15:32
VLAI
Details
Velociraptor's NTFS parsing library mishandles several out of bound and memory exhaustion bugs which may be triggered by maliciously crafted NTFS images.
Typically Velociraptor's NTFS parser is used on live NTFS filesystems, limiting the opportunity of attackers corrupting the filesystem. However, in some applications (e.g. dead disk forensics https://docs.velociraptor.app/docs/forensic/deaddisk/ ) Velociraptor may be used on untrusted NTFS image files.
If an attacker is able to inject maliciously corrupted NTFS Volumes they can cause a crash and a Denial of Service.
Severity
6.2 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-17535"
],
"database_specific": {
"cwe_ids": [
"CWE-125"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-11T15:17:27Z",
"severity": "MODERATE"
},
"details": "Velociraptor\u0027s NTFS parsing library mishandles several out of bound and memory exhaustion bugs which may be triggered by maliciously crafted NTFS images.\n\nTypically Velociraptor\u0027s NTFS parser is used on live NTFS filesystems, limiting the opportunity of attackers corrupting the filesystem. However, in some applications (e.g.\u00a0 dead disk forensics https://docs.velociraptor.app/docs/forensic/deaddisk/ ) Velociraptor may be used on untrusted NTFS image files.\u00a0\n\nIf an attacker is able to inject maliciously corrupted NTFS Volumes they can cause a crash and a Denial of Service.",
"id": "GHSA-46vh-7xwv-8rrp",
"modified": "2026-08-11T15:32:44Z",
"published": "2026-08-11T15:32:44Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-17535"
},
{
"type": "WEB",
"url": "http://docs.velociraptor.app/announcements/advisories/cve-2026-17535"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"type": "CVSS_V3"
}
]
}
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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.
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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.
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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