CVE-2014-9393
Overview
CVE-2014-9393 is a known-severity vulnerability affecting post_to_twitter_project post_to_twitter. It was published on December 31, 2014.
Technical Description
Multiple cross-site request forgery (CSRF) vulnerabilities in the Post to Twitter plugin 0.7 and earlier for WordPress allow remote attackers to hijack the authentication of administrators for requests that conduct cross-site scripting (XSS) attacks via the (1) idptt_twitter_username or (2) idptt_tweet_prefix parameter to wp-admin/options-general.php.
Remediation
Check the references section for vendor advisories and patches from post_to_twitter_project. Update post_to_twitter 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 |
|---|---|---|---|
| post_to_twitter_project | post_to_twitter | 0 | Affected |
Frequently Asked Questions
What is CVE-2014-9393?
CVE-2014-9393 is a known-severity vulnerability affecting post_to_twitter_project post_to_twitter. It was published on December 31, 2014.
How severe is CVE-2014-9393?
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-2014-9393?
Check the references section for vendor advisories and patches from post_to_twitter_project. Update post_to_twitter 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-2014-9393?
CyberStrike's AI-powered security agents can automatically detect CVE-2014-9393 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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