CVE-2014-125090
3.5 · LOWOverview
CVE-2014-125090 is a low-severity vulnerability affecting media_downloader_project media_downloader. It was published on March 4, 2023 and has a CVSS 3.1 base score of 3.5 (LOW).
This vulnerability has a CVSS 3.1 base score of 3.5, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
A vulnerability was found in Media Downloader Plugin 0.1.992 on WordPress. It has been declared as problematic. This vulnerability affects the function dl_file_resumable of the file getfile.php. The manipulation of the argument file leads to cross site scripting. The attack can be initiated remotely. Upgrading to version 0.1.993 is able to address this issue. The patch is identified as 77beb720c682b9300035ab5f96eee225181d8a92. It is recommended to upgrade the affected component. VDB-222262 is the identifier assigned to this vulnerability.
Remediation
Check the references section for vendor advisories and patches from media_downloader_project. Update media_downloader 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 |
|---|
References
Frequently Asked Questions
What is CVE-2014-125090?
CVE-2014-125090 is a low-severity vulnerability affecting media_downloader_project media_downloader. It was published on March 4, 2023 and has a CVSS 3.1 base score of 3.5 (LOW).
How severe is CVE-2014-125090?
This vulnerability has a CVSS 3.1 base score of 3.5, rated LOW. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2014-125090?
Check the references section for vendor advisories and patches from media_downloader_project. Update media_downloader 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-2014-125090?
CyberStrike's AI-powered security agents can automatically detect CVE-2014-125090 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.
Related LOW CVEs from 2014
View all →Unspecified vulnerability in HP HP-UX Whitelisting (aka WLI) before A.01.02.02 on HP-UX B.11.31 allo
Luci in Red Hat Conga stores the user's username and password in a Base64 encoded string in the __ac
Luci in Red Hat Conga does not properly enforce the user session timeout, which might allow attacker
Red Hat JBoss Operations Network (JON) before 3.0.1 uses 0777 permissions for the root directory whe
Unspecified vulnerability in the Oracle Transportation Management component in Oracle Supply Chain P
The slapper function in chkrootkit before 0.50 does not properly quote file paths, which allows loca
Secunia CSI Agent 6.0.0.15017 and earlier, 6.0.1.1007 and earlier, and 7.0.0.21 and earlier, when ru
The lock-counter implementation in utils/mount.ecryptfs_private.c in ecryptfs-utils before 90 allows
CFNetwork in Apple OS X through 10.8.5 does not remove session cookies upon a Safari reset action, w
The Ubuntu AccountsService package before 0.6.14-1git1ubuntu1.1 does not properly drop privileges wh
The smart proxy in Foreman before 1.1 uses a umask set to 0, which allows local users to modify file
pyxtrlock before 0.1 uses an incorrect variable name, which allows physically proximate attackers to