CVE-2006-1692 (GCVE-0-2006-1692)
Vulnerability from cvelistv5 – Published: 2006-04-11 10:00 – Updated: 2024-08-07 17:19
VLAI
EPSS
VEX
Summary
Multiple SQL injection vulnerabilities in MWNewsletter 1.0.0b allow remote attackers to execute arbitrary SQL commands via the (1) user_email parameter to (a) unsubscribe.php or (b) subscribe.php; or the (2) user_name parameter to subscribe.php. NOTE: the provenance of this information is unknown; the details are obtained solely from third party information, although it is likely that this was discovered during post-disclosure analysis.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
4 references
| URL | Tags |
|---|---|
| http://secunia.com/advisories/19568 | third-party-advisoryx_refsource_SECUNIA |
| http://www.vupen.com/english/advisories/2006/1270 | vdb-entryx_refsource_VUPEN |
| http://www.osvdb.org/24905 | vdb-entryx_refsource_OSVDB |
| http://www.osvdb.org/24445 | vdb-entryx_refsource_OSVDB |
Date Public
2006-04-06 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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