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VAR-202401-0924

Vulnerability from variot - Updated: 2024-01-25 23:05

An issue was discovered on TRENDnet TV-IP1314PI 5.5.3 200714 devices. Command injection can occur because the system function is used by davinci to unpack language packs without strict filtering of URL strings. TRENDnet TV-IP1314PI is a wireless network camera from the American Trend Network (TRENDnet) company.

TRENDnet TV-IP1314PI has a command injection vulnerability. An attacker can use this vulnerability to cause command injection

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CVE-2023-49237 (GCVE-0-2023-49237)

Vulnerability from cvelistv5 – Published: 2024-01-09 00:00 – Updated: 2025-06-20 15:26

Summary

Severity

9.8 (Critical)


                        
                          CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-01-09 15:37 UTC

CWE

n/a
CWE-77 - Improper Neutralization of Special Elements used in a Command ('Command Injection')

Assigner

mitre mitre root Scorecard

References

2 references

URL	Tags
https://drive.google.com/file/d/1lTloBkH_7zAz1ZbF…
https://github.com/pcsle37/TRENDnet/blob/main/TRE…

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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.

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.

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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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VAR-202401-0924

CVE-2023-49237 (GCVE-0-2023-49237)

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