CVE-2017-9773
5.7 · MEDIUMOverview
CVE-2017-9773 is a medium-severity vulnerability affecting horde horde_image. It was published on June 21, 2017 and has a CVSS 3.0 base score of 5.7 (MEDIUM).
This vulnerability has a CVSS 3.0 base score of 5.7, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical Description
Denial of Service was found in Horde_Image 2.x before 2.5.0 via a crafted URL to the "Null" image driver.
Remediation
Check the references section for vendor advisories and patches from horde. Update horde_image 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 |
|---|
Frequently Asked Questions
What is CVE-2017-9773?
CVE-2017-9773 is a medium-severity vulnerability affecting horde horde_image. It was published on June 21, 2017 and has a CVSS 3.0 base score of 5.7 (MEDIUM).
How severe is CVE-2017-9773?
This vulnerability has a CVSS 3.0 base score of 5.7, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2017-9773?
Check the references section for vendor advisories and patches from horde. Update horde_image 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-2017-9773?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-9773 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 MEDIUM CVEs from 2017
View all →Vulnerability in the Oracle Business Intelligence Enterprise Edition component of Oracle Fusion Midd
Vulnerability in the Oracle Hospitality Guest Access component of Oracle Hospitality Applications (s
A large out-of-bounds read on the heap vulnerability in Foxit PDF Reader can potentially be abused f
The Debian initrd script for the cryptsetup package 2:1.7.3-2 and earlier allows physically proximat
Vulnerability in the MySQL Server component of Oracle MySQL (subcomponent: Server: Security: Encrypt
IBM Tivoli Storage Manager for Virtual Environments (VMware) could disclose the Windows domain crede
A vulnerability in the implementation of Common Industrial Protocol (CIP) functionality in Cisco Ind
A vulnerability in the handling of list headers in Cisco cBR Series Converged Broadband Routers coul
Unisys Libra 43xx, 63xx, and 83xx, and FS600 class systems with MCP-FIRMWARE 40.0 before 40.0IC4 Bui
An issue was discovered in Tesla Motors Model S automobile, all firmware versions before version 7.1
An issue was discovered in Emerson DeltaV Easy Security Management DeltaV V12.3, DeltaV V12.3.1, and
An issue was discovered in certain Apple products. iOS before 10.2 is affected. The issue involves t