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EUVD-2026-257520
European Vulnerability Database identifier assigned by ENISAReserved
2026-10-02 06:58
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": "2026-10-02T06:58:57.281194+00:00",
"id": "EUVD-2026-257520"
}
CVE-2025-20128 (GCVE-0-2025-20128)
Vulnerability from cvelistv5 – Published: 2025-01-22 16:21 – Updated: 2025-11-03 18:08
VLAI
EPSS
VEX
Title
ClamAV OLE2 File Format Decryption Denial of Service Vulnerability
Summary
A vulnerability in the Object Linking and Embedding 2 (OLE2) decryption routine of ClamAV could allow an unauthenticated, remote attacker to cause a denial of service (DoS) condition on an affected device.
This vulnerability is due to an integer underflow in a bounds check that allows for a heap buffer overflow read. An attacker could exploit this vulnerability by submitting a crafted file containing OLE2 content to be scanned by ClamAV on an affected device. A successful exploit could allow the attacker to terminate the ClamAV scanning process, resulting in a DoS condition on the affected software.
For a description of this vulnerability, see the .
Cisco has released software updates that address this vulnerability. There are no workarounds that address this vulnerability.
Severity
5.3 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-22 16:54 UTC
CWE
- CWE-122 - Heap-based Buffer Overflow
Assigner
References
Impacted products
1 product
| Vendor | Product | Version | |
|---|---|---|---|
| Cisco | Cisco Secure Endpoint |
Affected:
7.0.5
Affected: 6.2.19 Affected: 7.3.3 Affected: 7.2.13 Affected: 6.1.5 Affected: 6.3.1 Affected: 6.2.5 Affected: 7.3.5 Affected: 6.2.1 Affected: 7.2.7 Affected: 7.1.1 Affected: 6.3.5 Affected: 6.2.9 Affected: 7.3.1 Affected: 6.1.7 Affected: 7.2.11 Affected: 7.2.3 Affected: 7.1.5 Affected: 6.3.3 Affected: 7.3.9 Affected: 6.2.3 Affected: 6.1.9 Affected: 7.2.5 Affected: 6.3.7 Affected: 1.12.3 Affected: 1.8.0 Affected: 1.11.1 Affected: 1.12.4 Affected: 1.10.0 Affected: 1.12.0 Affected: 1.8.1 Affected: 1.10.1 Affected: 1.12.1 Affected: 1.12.6 Affected: 1.14.0 Affected: 1.10.2 Affected: 1.12.2 Affected: 1.6.0 Affected: 1.11.0 Affected: 1.7.0 Affected: 1.13.0 Affected: 1.12.7 Affected: 1.8.4 Affected: 1.13.1 Affected: 1.9.0 Affected: 1.9.1 Affected: 1.12.5 Affected: 1.13.2 Affected: 8.1.7.21512 Affected: 8.1.7 Affected: 8.1.5 Affected: 8.1.3.21242 Affected: 8.1.3 Affected: 8.1.5.21322 Affected: 8.1.7.21417 |
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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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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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