VAR-201607-0424
Vulnerability from variot - Updated: 2025-04-13 23:17The virtual network stack on Cisco AMP Threat Grid Appliance devices before 2.1.1 allows remote attackers to bypass a sandbox protection mechanism, and consequently obtain sensitive interprocess information or modify interprocess data, via a crafted malware sample. Supplementary information : CWE Vulnerability type by CWE-254: Security Features ( Security function ) Has been identified. Cisco AMP Threat Grid Appliance is prone to an unauthorized-access vulnerability. Attackers can exploit this issue to gain unauthorized access to the affected application. This may aid in further attacks. Cisco AMP Threat Grid Appliance running software versions prior to 2.1.1 are vulnerable. The solution can help enterprises analyze the behavior and intent of malware, the impact of threats, and defense methods
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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.
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.
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.