VAR-202011-1301
Vulnerability from variot - Updated: 2023-12-18 13:51Some Huawei products have a command injection vulnerability. Due to insufficient input validation, an attacker with high privilege may inject some malicious codes in some files of the affected products. Successful exploit may cause command injection.Affected product versions include:NIP6300 versions V500R001C30,V500R001C60;NIP6600 versions V500R001C30,V500R001C60;Secospace USG6300 versions V500R001C30,V500R001C60;Secospace USG6500 versions V500R001C30,V500R001C60;Secospace USG6600 versions V500R001C30,V500R001C60;USG9500 versions V500R001C30,V500R001C60. plural Huawei The product contains a command injection vulnerability.Information is obtained, information is tampered with, and service is disrupted (DoS) It may be put into a state
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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.