CVE-2009-1800 (GCVE-0-2009-1800)
Vulnerability from cvelistv5 – Published: 2009-05-28 14:00 – Updated: 2024-09-16 17:19Summary
Stack-based buffer overflow in the Chinagames CGAgent ActiveX control 1.x in CGAgent.dll, as distributed in Chinagames iGame 2009, allows remote attackers to execute arbitrary code via a long argument to the CreateChinagames method, as exploited in the wild in April and May 2009. NOTE: some of these details are obtained from third party information.
Severity
No CVSS data available.
CWE
- n/a
Assigner
References
6 references
| URL | Tags |
|---|---|
| http://downloads.securityfocus.com/vulnerabilitie… | x_refsource_MISC |
| http://hi.baidu.com/wi4r/blog/item/8b1c06fb2e3de8… | x_refsource_MISC |
| http://www.securityfocus.com/bid/34871 | vdb-entryx_refsource_BID |
| http://www.cisrt.org/enblog/read.php?245 | x_refsource_MISC |
| http://secunia.com/advisories/35005 | third-party-advisoryx_refsource_SECUNIA |
| http://bbs.pediy.com/showthread.php?t=87615 | x_refsource_MISC |
Previdian
Known Exploited Vulnerability - GCVE BCP-07 Compliant
KEV entry ID: 1536d949-da9c-4e6c-9db6-6856b5d7ec3f
Exploited: Yes
Timestamps
First Seen: 2009-05-28
Asserted: 2009-05-28
Scope
Notes: KEVIntel entry: Stack-based buffer overflow in the Chinagames CGAgent ActiveX control 1.x in CGAgent.dll, as distributed in Chinagames iGame 2009, allows remote... | Affected: Chinagames / iGame | CVSS: 7.5 (HIGH) | Used in malware: unknown | Not yet in CISA KEV: True
Evidence
Type: Public Report
Signal: Successful Exploitation
Confidence: 70%
Source: kevintel
Details
| Feed | KEVIntel (kevintel.com) |
|---|---|
| Title | Stack-based buffer overflow in the Chinagames CGAgent ActiveX control 1.x in CGAgent.dll, as distributed in Chinagames iGame 2009, allows remote... |
| Vendor | Chinagames |
| Product | iGame |
| Added Date | 2009-05-28T14:00:00.000Z |
| Cvss Score | 7.5 |
| Epss Score | None |
| Cvss Severity | HIGH |
| Epss Percentile | None |
| Used In Malware | unknown |
| Ahead Of Cisa Kev | None |
| Not Yet In Cisa Kev | True |
References
Created: 2026-06-23 14:04 UTC
| Updated: 2026-07-10 06:14 UTC
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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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