VAR-202111-1224
Vulnerability from variot - Updated: 2024-11-23 22:29A brute-force protection bypass in CAPTCHA protection in ASUS ROG Rapture GT-AX11000, RT-AX3000, RT-AX55, RT-AX56U, RT-AX56U_V2, RT-AX58U, RT-AX82U, RT-AX82U GUNDAM EDITION, RT-AX86 Series(RT-AX86U/RT-AX86S), RT-AX86U ZAKU II EDITION, RT-AX88U, RT-AX92U, TUF Gaming AX3000, TUF Gaming AX5400 (TUF-AX5400), ASUS ZenWiFi XD6, ASUS ZenWiFi AX (XT8) before 3.0.0.4.386.45898, and RT-AX68U before 3.0.0.4.386.45911, allows a remote attacker to attempt any number of login attempts via sending a specific HTTP request. plural ASUS The product contains an improper restriction of excessive authentication attempts vulnerability.Information is obtained, information is tampered with, and service operation is interrupted. (DoS) It may be in a state
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Sightings
| Author | Source | Type | Date | Other |
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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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.