CVE-2007-3442
2.3 · LOWOverview
CVE-2007-3442 is a low-severity vulnerability affecting research_in_motion_limited blackberry_7270. It was published on June 27, 2007 and has a CVSS 2.0 base score of 2.3 (LOW).
This vulnerability has a CVSS 2.0 base score of 2.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
Technical Description
Format string vulnerability on the Research in Motion BlackBerry 7270 before 4.0 SP1 Bundle 108 allows remote attackers to cause a denial of service (blocked call reception and calling) via format string specifiers in an SIP INVITE message that lacks a host name in the Contact header.
Remediation
Check the references section for vendor advisories and patches from research_in_motion_limited. Update blackberry_7270 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 |
|---|---|---|---|
| research_in_motion_limited | blackberry_7270 | 0 | Affected |
References
Frequently Asked Questions
What is CVE-2007-3442?
CVE-2007-3442 is a low-severity vulnerability affecting research_in_motion_limited blackberry_7270. It was published on June 27, 2007 and has a CVSS 2.0 base score of 2.3 (LOW).
How severe is CVE-2007-3442?
This vulnerability has a CVSS 2.0 base score of 2.3, rated LOW. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2007-3442?
Check the references section for vendor advisories and patches from research_in_motion_limited. Update blackberry_7270 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-2007-3442?
CyberStrike's AI-powered security agents can automatically detect CVE-2007-3442 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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