CVE-2000-0917
10.0 · HIGHFormat string vulnerability in use_syslog() function in LPRng 3.6.24 allows remote attackers to execute arbitrary commands.
Overview
CVE-2000-0917 is a high-severity vulnerability affecting caldera openlinux_ebuilder. It was published on December 19, 2000 and has a CVSS 2.0 base score of 10.0 (HIGH).
This vulnerability has a CVSS 2.0 base score of 10.0, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical description
Format string vulnerability in use_syslog() function in LPRng 3.6.24 allows remote attackers to execute arbitrary commands.
Remediation
Check the references section for vendor advisories and patches from caldera. Update openlinux_ebuilder 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
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Frequently asked questions
What is CVE-2000-0917?
CVE-2000-0917 is a high-severity vulnerability affecting caldera openlinux_ebuilder. It was published on December 19, 2000 and has a CVSS 2.0 base score of 10.0 (HIGH).
How severe is CVE-2000-0917?
This vulnerability has a CVSS 2.0 base score of 10.0, 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-2000-0917?
Check the references section for vendor advisories and patches from caldera. Update openlinux_ebuilder 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-2000-0917?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2000-0917 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.
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