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CVE-2007-3528

5.0 · MEDIUM
Published Jul 3, 2007 dar EPSS 1.76% (76th pctl)

Overview

CVE-2007-3528 is a medium-severity vulnerability affecting dar dar. It was published on July 3, 2007 and has a CVSS 2.0 base score of 5.0 (MEDIUM).

This vulnerability has a CVSS 2.0 base score of 5.0, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

The blowfish mode in DAR before 2.3.4 uses weak Blowfish-CBC cryptography by (1) discarding random bits by the blowfish::make_ivec function in libdar/crypto.cpp that results in predictable and repeating IV values, and (2) direct use of a password for keying, which makes it easier for context-dependent attackers to decrypt files.

Remediation

Check the references section for vendor advisories and patches from dar. Update dar 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
dar dar 0 Affected

Frequently Asked Questions

What is CVE-2007-3528?

CVE-2007-3528 is a medium-severity vulnerability affecting dar dar. It was published on July 3, 2007 and has a CVSS 2.0 base score of 5.0 (MEDIUM).

How severe is CVE-2007-3528?

This vulnerability has a CVSS 2.0 base score of 5.0, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2007-3528?

Check the references section for vendor advisories and patches from dar. Update dar 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-2007-3528?

CyberStrike's AI-powered security agents can automatically detect CVE-2007-3528 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.