VAR-201907-1072
Vulnerability from variot - Updated: 2024-11-23 21:37An issue was discovered on D-Link DCS-1100 and DCS-1130 devices. The device has a custom binary called mp4ts under the /var/www/video folder. It seems that this binary dumps the HTTP VERB in the system logs. As a part of doing that it retrieves the HTTP VERB sent by the user and uses a vulnerable sprintf function at address 0x0000C3D4 in the function sub_C210 to copy the value into a string and then into a log file. Since there is no bounds check being performed on the environment variable at address 0x0000C360 this results in a stack overflow and overwrites the PC register allowing an attacker to execute buffer overflow or even a command injection attack. D-Link DCS-1100 and DCS-1130 The device contains a buffer error vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. Both D-Link DCS-1100 and D-Link DCS-1130 are a network camera produced by D-Link Company in Taiwan, China. An attacker could exploit this vulnerability to execute arbitrary commands on the device
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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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