CVE-2009-2295
7.5 · HIGHOverview
CVE-2009-2295 is a high-severity vulnerability affecting jun_furuse camlimages. It was published on July 5, 2009 and has a CVSS 2.0 base score of 7.5 (HIGH).
This vulnerability has a CVSS 2.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
Multiple integer overflows in CamlImages 2.2 and earlier might allow context-dependent attackers to execute arbitrary code via a crafted PNG image with large width and height values that trigger a heap-based buffer overflow in the (1) read_png_file or (2) read_png_file_as_rgb24 function.
Remediation
Check the references section for vendor advisories and patches from jun_furuse. Update camlimages to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
Affected Products
| Vendor | Product | Versions | Status |
|---|---|---|---|
| jun_furuse | camlimages | 0 | Affected |
References
Frequently Asked Questions
What is CVE-2009-2295?
CVE-2009-2295 is a high-severity vulnerability affecting jun_furuse camlimages. It was published on July 5, 2009 and has a CVSS 2.0 base score of 7.5 (HIGH).
How severe is CVE-2009-2295?
This vulnerability has a CVSS 2.0 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2009-2295?
Check the references section for vendor advisories and patches from jun_furuse. Update camlimages to the latest patched version. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.
How can CyberStrike help with CVE-2009-2295?
CyberStrike's AI-powered security agents can automatically detect CVE-2009-2295 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.
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