VAR-201802-0553
Vulnerability from variot - Updated: 2024-11-23 22:30An issue was discovered in Apexis APM-H803-MPC software, as used with many different models of IP Camera. An unprotected CGI method inside the web application permits an unauthenticated user to bypass the login screen and access the webcam contents including: live video stream, configuration files with all the passwords, system information, and much more. With this vulnerability, anyone can access to a vulnerable webcam with 'super admin' privilege. Apexis APM-H803-MPC The software contains vulnerabilities related to authorization, permissions, and access control.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. Apexis APM-H803-MPC is an infrared network camera product of China Fuhong (Apexis) Electronics Company. Apexis APM-H803-MPC with firmware version 1.1.2.69 has a privilege escalation vulnerability
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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.
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.
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