tid-324
Vulnerability from emb3d
If a device does not properly authenticate all HTTP requests, a threat actor can directly send a request to a specific URL to access data or initiate a device function. This could be used to access/download sensitive data or perform unwanted changes to settings or functions on a device. This typically requires that the threat actor directly knows the URL of the specific file/object/page, rather than depending on the existing links provided by the web application. This is especially problematic for files hosted on a web server (e.g., txt, pdf) since the authentication mechanisms provided by the web application framework may not enforce access controls on those files.
- CWE-639: Authorization Bypass Through User-Controlled Key
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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.