CVE-2009-20008 (GCVE-0-2009-20008)
Vulnerability from cvelistv5 – Published: 2025-08-30 13:47 – Updated: 2026-05-25 23:40 Unsupported When Assigned
VLAI
EPSS
VEX
Title
Green Dam 3.17 URL Processing Buffer Overflow
Summary
Green Dam Youth Escort version 3.17 is vulnerable to a stack-based buffer overflow when processing overly long URLs. The flaw resides in the URL filtering component, which fails to properly validate input length before copying user-supplied data into a fixed-size buffer. A remote attacker can exploit this vulnerability by enticing a user to visit a specially crafted webpage containing a long URL, resulting in arbitrary code execution.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-09-02 20:40 UTC
CWE
- CWE-121 - Stack-based Buffer Overflow
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://web.archive.org/web/20110426190759/http:/… | technical-description |
| https://en.wikipedia.org/wiki/Green_Dam_Youth_Escort | product |
| https://www.exploit-db.com/exploits/8969 | exploit |
| https://www.exploit-db.com/exploits/8938 | exploit |
| https://raw.githubusercontent.com/rapid7/metasplo… | exploit |
| https://www.vulncheck.com/advisories/green-dam-ur… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Zhengzhou Jinhui Computer System Engineering Co. Ltd. ; Beijing Dazheng Human Language Technology Academy | Green Dam Youth Escort |
Affected:
3.17
(custom)
|
guessed |
Date Public
2009-06-12 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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