CVE-2014-1901 (GCVE-0-2014-1901)
Vulnerability from cvelistv5 – Published: 2015-05-14 00:00 – Updated: 2024-08-06 09:58
VLAI
EPSS
VEX
Summary
Y-Cam camera models SD range YCB003, YCK003, and YCW003; S range YCB004, YCK004, YCW004; EyeBall YCEB03; Bullet VGA YCBL03 and YCBLB3; Bullet HD 720 YCBLHD5; Y-cam Classic Range YCB002, YCK002, and YCW003; and Y-cam Original Range YCB001, YCW001, running firmware 4.30 and earlier, allow remote authenticated users to cause a denial of service (reboot) via a malformed (1) path parameter to en/store_main.asp, (2) item parameter to en/account/accedit.asp, or (3) emailid parameter to en/smtpclient.asp. NOTE: this issue can be exploited without authentication by leveraging CVE-2014-1900.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://www.trustwave.com/Resources/Security-Advi… | x_refsource_MISC |
| http://www.y-cam.com/y-cam-security-fix/ | x_refsource_CONFIRM |
Date Public
2014-05-01 00:00
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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.
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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