CVE-2006-3334
7.5 · HIGHOverview
CVE-2006-3334 is a high-severity vulnerability affecting greg_roelofs libpng. It was published on June 30, 2006 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
Buffer overflow in the png_decompress_chunk function in pngrutil.c in libpng before 1.2.12 allows context-dependent attackers to cause a denial of service and possibly execute arbitrary code via unspecified vectors related to "chunk error processing," possibly involving the "chunk_name".
Remediation
Check the references section for vendor advisories and patches from greg_roelofs. Update libpng 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 |
|---|---|---|---|
| greg_roelofs | libpng | 0 | Affected |
References
Frequently Asked Questions
What is CVE-2006-3334?
CVE-2006-3334 is a high-severity vulnerability affecting greg_roelofs libpng. It was published on June 30, 2006 and has a CVSS 2.0 base score of 7.5 (HIGH).
How severe is CVE-2006-3334?
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-2006-3334?
Check the references section for vendor advisories and patches from greg_roelofs. Update libpng 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-2006-3334?
CyberStrike's AI-powered security agents can automatically detect CVE-2006-3334 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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