VAR-202312-0472
Vulnerability from variot - Updated: 2024-08-14 13:41Tenda AX3 V16.03.12.11 was discovered to contain a Command Execution vulnerability via the function /goform/telnet. Shenzhen Tenda Technology Co.,Ltd. of AX3 There are unspecified vulnerabilities in the firmware.Information is obtained, information is tampered with, and service operation is interrupted. (DoS) It may be in a state. Tenda Ax3 is an Ax1800 Gigabit port dual-band Wifi 6 wireless router from China's Tenda Company. The vulnerability is caused by the failure of the handler function of /goform/telnet to correctly filter special characters, commands, etc. in the constructed command
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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.
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- 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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