CVE-2005-1552 (GCVE-0-2005-1552)
Vulnerability from cvelistv5 – Published: 2005-05-14 04:00 – Updated: 2024-08-07 21:51
VLAI
EPSS
VEX
Summary
GeoVision Digital Video Surveillance System 6.04, 6.1 and 7.0, when set to create JPEG images, does not properly protect an image even when a password and username is assigned, which may allow remote attackers to gain sensitive information via a direct request to the image.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
6 references
| URL | Tags |
|---|---|
| http://www.osvdb.org/16340 | vdb-entryx_refsource_OSVDB |
| http://secunia.com/advisories/15330 | third-party-advisoryx_refsource_SECUNIA |
| http://www.securityfocus.com/bid/13571 | vdb-entryx_refsource_BID |
| http://www.esqo.com/research/advisories/2005/1005… | x_refsource_MISC |
| http://marc.info/?l=bugtraq&m=111574131105737&w=2 | mailing-listx_refsource_BUGTRAQ |
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entryx_refsource_XF |
Date Public
2005-05-10 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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