CVE-2003-1201
Overview
CVE-2003-1201 is a known-severity vulnerability affecting openldap openldap. It was published on March 20, 2003.
Technical Description
ldbm_back_exop_passwd in the back-ldbm backend in passwd.c for OpenLDAP 2.1.12 and earlier, when the slap_passwd_parse function does not return LDAP_SUCCESS, attempts to free an uninitialized pointer, which allows remote attackers to cause a denial of service (segmentation fault).
Remediation
Check the references section for vendor advisories and patches from openldap. Update openldap 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 |
|---|---|---|---|
| openldap | openldap | 0 | Affected |
References
Frequently Asked Questions
What is CVE-2003-1201?
CVE-2003-1201 is a known-severity vulnerability affecting openldap openldap. It was published on March 20, 2003.
How severe is CVE-2003-1201?
CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.
How do I fix or remediate CVE-2003-1201?
Check the references section for vendor advisories and patches from openldap. Update openldap 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-2003-1201?
CyberStrike's AI-powered security agents can automatically detect CVE-2003-1201 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
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.