CVE-2005-2772
7.5 · HIGHOverview
CVE-2005-2772 is a high-severity vulnerability affecting university_of_minnesota gopher. It was published on September 2, 2005 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 stack-based buffer overflows in University of Minnesota gopher client 3.0.9 allow remote malicious servers to execute arbitrary code via (1) a long "+VIEWS:" reply, which is not properly handled in the VIfromLine function, and (2) certain arguments when launching third party programs such as a web browser from a web link, which is not properly handled in the FIOgetargv function.
Remediation
Check the references section for vendor advisories and patches from university_of_minnesota. Update gopher 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 |
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References
Frequently Asked Questions
What is CVE-2005-2772?
CVE-2005-2772 is a high-severity vulnerability affecting university_of_minnesota gopher. It was published on September 2, 2005 and has a CVSS 2.0 base score of 7.5 (HIGH).
How severe is CVE-2005-2772?
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-2005-2772?
Check the references section for vendor advisories and patches from university_of_minnesota. Update gopher 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-2005-2772?
CyberStrike's AI-powered security agents can automatically detect CVE-2005-2772 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.
How CyberStrike Helps
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