CVE-2002-0228 (GCVE-0-2002-0228)
Vulnerability from cvelistv5 – Published: 2002-05-03 04:00 – Updated: 2024-08-08 02:42
VLAI
EPSS
VEX
Summary
Microsoft MSN Messenger allows remote attackers to use Javascript that references an ActiveX object to obtain sensitive information such as display names and web site navigation, and possibly more when the user is connected to certain Microsoft sites (or DNS-spoofed sites).
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
3 references
| URL | Tags |
|---|---|
| http://online.securityfocus.com/archive/1/254021 | mailing-listx_refsource_BUGTRAQ |
| http://www.iss.net/security_center/static/8084.php | vdb-entryx_refsource_XF |
| http://www.securityfocus.com/bid/4028 | vdb-entryx_refsource_BID |
Date Public
2002-02-02 00:00
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
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Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
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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.