VAR-201807-0054
Vulnerability from variot - Updated: 2024-11-23 22:00A command injection vulnerability exists in apply.cgi on the ASUS RP-AC52 access point, firmware version 1.0.1.1s and possibly earlier, web interface specifically in the action_script parameter. The action_script parameter specifies a script to be executed if the action_mode parameter does not contain a valid state. If the input provided by action_script does not match one of the hard coded options, then it will be executed as the argument of either a system() or an eval() call allowing arbitrary commands to be executed. ASUS RP-AC52 Access Point is prone to the following multiple security issues: 1. Cross-site request-forgery vulnerability 2. A command-injection vulnerability An attacker may leverage these issues to perform certain unauthorized actions and gain access to the affected application or execute commands in the context of the affected application. A remote attacker could exploit this vulnerability to execute arbitrary commands
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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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