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EUVD-2026-364636
European Vulnerability Database identifier assigned by ENISAReserved
2026-10-02 08:33
Assigner
ENISA
Alias of
a CVE record, shown under related vulnerabilities.
This identifier carries no description, severity or references of its own:
they belong to that CVE.
{
"assigner": "ENISA",
"date_reserved": "2026-10-02T08:33:26.280709+00:00",
"id": "EUVD-2026-364636"
}
CVE-2025-71265 (GCVE-0-2025-71265)
Vulnerability from cvelistv5 – Published: 2026-03-18 10:05 – Updated: 2026-09-08 08:44
VLAI
EPSS
VEX
Title
fs: ntfs3: fix infinite loop in attr_load_runs_range on inconsistent metadata
Summary
In the Linux kernel, the following vulnerability has been resolved:
fs: ntfs3: fix infinite loop in attr_load_runs_range on inconsistent metadata
We found an infinite loop bug in the ntfs3 file system that can lead to a
Denial-of-Service (DoS) condition.
A malformed NTFS image can cause an infinite loop when an attribute header
indicates an empty run list, while directory entries reference it as
containing actual data. In NTFS, setting evcn=-1 with svcn=0 is a valid way
to represent an empty run list, and run_unpack() correctly handles this by
checking if evcn + 1 equals svcn and returning early without parsing any run
data. However, this creates a problem when there is metadata inconsistency,
where the attribute header claims to be empty (evcn=-1) but the caller
expects to read actual data. When run_unpack() immediately returns success
upon seeing this condition, it leaves the runs_tree uninitialized with
run->runs as a NULL. The calling function attr_load_runs_range() assumes
that a successful return means that the runs were loaded and sets clen to 0,
expecting the next run_lookup_entry() call to succeed. Because runs_tree
remains uninitialized, run_lookup_entry() continues to fail, and the loop
increments vcn by zero (vcn += 0), leading to an infinite loop.
This patch adds a retry counter to detect when run_lookup_entry() fails
consecutively after attr_load_runs_vcn(). If the run is still not found on
the second attempt, it indicates corrupted metadata and returns -EINVAL,
preventing the Denial-of-Service (DoS) vulnerability.
Severity
No CVSS data available.
Assigner
References
9 references
Impacted products
8 products
| Vendor | Product | Version | |
|---|---|---|---|
| Linux | Linux |
Affected:
be71b5cba2e6485e8959da7a9f9a44461a1bb074 , < 6f07a590616ff5f57f7c041d98e463fad9e9f763
(git)
Affected: be71b5cba2e6485e8959da7a9f9a44461a1bb074 , < a89bc96d5abd8a4a8d5d911884ea347efcdf460b (git) Affected: be71b5cba2e6485e8959da7a9f9a44461a1bb074 , < af839013c70a24779f9d1afb1575952009312d38 (git) Affected: be71b5cba2e6485e8959da7a9f9a44461a1bb074 , < 78b61f7eac37a63284774b147f38dd0be6cad43c (git) Affected: be71b5cba2e6485e8959da7a9f9a44461a1bb074 , < c0b43c45d45f59e7faad48675a50231a210c379b (git) Affected: be71b5cba2e6485e8959da7a9f9a44461a1bb074 , < 3c3a6e951b9b53dab2ac460a655313cf04c4a10a (git) Affected: be71b5cba2e6485e8959da7a9f9a44461a1bb074 , < 4b90f16e4bb5607fb35e7802eb67874038da4640 (git) |
|
| Linux | Linux |
Affected:
5.15
Unaffected: 0 , < 5.15 (semver) Unaffected: 5.15.202 , ≤ 5.15.* (semver) Unaffected: 6.1.165 , ≤ 6.1.* (semver) Unaffected: 6.6.128 , ≤ 6.6.* (semver) Unaffected: 6.12.75 , ≤ 6.12.* (semver) Unaffected: 6.18.16 , ≤ 6.18.* (semver) Unaffected: 6.19.6 , ≤ 6.19.* (semver) Unaffected: 7.0 , ≤ * (original_commit_for_fix) |
|
| Siemens | SIMATIC S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.6 , < *
(custom)
|
|
| Siemens | SIMATIC S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.5 , < *
(custom)
|
|
| Siemens | SIMATIC S7-1500 CPU 1518F-4 PN/DP MFP |
Affected:
V3.1.6 , < *
(custom)
|
|
| Siemens | SIMATIC S7-1500 CPU 1518F-4 PN/DP MFP |
Affected:
V3.1.5 , < *
(custom)
|
|
| Siemens | SIPLUS S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.6 , < *
(custom)
|
|
| Siemens | SIPLUS S7-1500 CPU 1518-4 PN/DP MFP |
Affected:
V3.1.5 , < *
(custom)
|
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"orgId": "0b142b55-0307-4c5a-b3c9-f314f3fb7c5e",
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"url": "https://cert-portal.siemens.com/productcert/html/ssa-019113.html"
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Trend slope:
-
(linear fit over daily sighting counts)
Show additional events:
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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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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