CVE-2007-4961
7.5 · HIGHOverview
CVE-2007-4961 is a high-severity vulnerability affecting lindenlab second_life. It was published on September 18, 2007 and has a CVSS 3.1 base score of 7.5 (HIGH).
This vulnerability has a CVSS 3.1 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
The login_to_simulator method in Linden Lab Second Life, as used by the secondlife:// protocol handler and possibly other Second Life login mechanisms, sends an MD5 hash in cleartext in the passwd field, which allows remote attackers to login to an account by sniffing the network and then sending this hash to a Second Life authentication server.
Remediation
Check the references section for vendor advisories and patches from lindenlab. Update second_life 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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Frequently Asked Questions
What is CVE-2007-4961?
CVE-2007-4961 is a high-severity vulnerability affecting lindenlab second_life. It was published on September 18, 2007 and has a CVSS 3.1 base score of 7.5 (HIGH).
How severe is CVE-2007-4961?
This vulnerability has a CVSS 3.1 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-2007-4961?
Check the references section for vendor advisories and patches from lindenlab. Update second_life 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-2007-4961?
CyberStrike's AI-powered security agents can automatically detect CVE-2007-4961 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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