CVE-2017-7982
5.5 · MEDIUMOverview
CVE-2017-7982 is a medium-severity vulnerability affecting libimobiledevice libplist. It was published on April 20, 2017 and has a CVSS 3.0 base score of 5.5 (MEDIUM).
This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
Technical Description
Integer overflow in the plist_from_bin function in bplist.c in libimobiledevice/libplist before 2017-04-19 allows remote attackers to cause a denial of service (heap-based buffer over-read and application crash) via a crafted plist file.
Remediation
Check the references section for vendor advisories and patches from libimobiledevice. Update libplist 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 |
|---|---|---|---|
| libimobiledevice | libplist | 0 | Affected |
Frequently Asked Questions
What is CVE-2017-7982?
CVE-2017-7982 is a medium-severity vulnerability affecting libimobiledevice libplist. It was published on April 20, 2017 and has a CVSS 3.0 base score of 5.5 (MEDIUM).
How severe is CVE-2017-7982?
This vulnerability has a CVSS 3.0 base score of 5.5, rated MEDIUM. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2017-7982?
Check the references section for vendor advisories and patches from libimobiledevice. Update libplist 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-2017-7982?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-7982 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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