VAR-201203-0148
Vulnerability from variot - Updated: 2023-12-18 12:10The ELF file parser in AhnLab V3 Internet Security 2011.01.18.00, Bitdefender 7.2, Quick Heal (aka Cat QuickHeal) 11.00, Command Antivirus 5.2.11.5, Comodo Antivirus 7424, eSafe 7.0.17.0, F-Prot Antivirus 4.6.2.117, F-Secure Anti-Virus 9.0.16160.0, McAfee Anti-Virus Scanning Engine 5.400.0.1158, Norman Antivirus 6.06.12, nProtect Anti-Virus 2011-01-17.01, and Panda Antivirus 10.0.2.7 allows remote attackers to bypass malware detection via an ELF file with a modified endianness field. NOTE: this may later be SPLIT into multiple CVEs if additional information is published showing that the error occurred independently in different ELF parser implementations. Multiple products ELF A file parser contains a vulnerability that can prevent malware detection. Different ELF Parser If it is announced that there is also a problem with the implementation of CVE May be split.The endian field changed by a third party ELF Malware detection may be avoided via files. Successful exploits will allow attackers to bypass on-demand virus scanning, possibly allowing malicious files to escape detection
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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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