Vulnerability-Lookup

VAR-201904-0921

Vulnerability from variot - Updated: 2024-11-23 22:17

system.cgi on TRENDnet TV-IP110WN cameras has a buffer overflow caused by an inadequate source-length check before a strcpy operation in the respondAsp function. Attackers can exploit the vulnerability by using the languse parameter with a long string. This affects 1.2.2 build 28, 64, 65, and 68. TRENDnet TV-IP110WN The camera 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. TRENDnetTV-IP110WN is a wireless webcam from TRENDnet. A buffer overflow vulnerability exists in the system.cgi file in TRENDnetTV-IP110WN. This vulnerability is caused by a network system or product performing an operation on memory that does not properly validate data boundaries, causing incorrect read and write to other associated memory locations. operating. An attacker could exploit the vulnerability to cause a buffer overflow or heap overflow. write operation

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CVE-2019-11417 (GCVE-0-2019-11417)

Vulnerability from cvelistv5 – Published: 2019-04-21 20:09 – Updated: 2024-08-04 22:55

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 29/100 over 2269 records in the last 180 days details

References

1 reference

URL	Tags
https://github.com/zyw-200/IOTFuzzer/blob/master/…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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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