CVE-2017-1000093
8.8 · HIGHOverview
CVE-2017-1000093 is a high-severity vulnerability affecting jenkins poll_scm. It was published on October 5, 2017 and has a CVSS 3.0 base score of 8.8 (HIGH).
This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
Technical Description
Poll SCM Plugin was not requiring requests to its API be sent via POST, thereby opening itself to Cross-Site Request Forgery attacks. This allowed attackers to initiate polling of projects with a known name. While Jenkins in general does not consider polling to be a protection-worthy action as it's similar to cache invalidation, the plugin specifically adds a permission to be able to use this functionality, and this issue undermines that permission.
Remediation
Check the references section for vendor advisories and patches from jenkins. Update poll_scm 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 |
|---|---|---|---|
| jenkins | poll_scm | 0 | Affected |
Frequently Asked Questions
What is CVE-2017-1000093?
CVE-2017-1000093 is a high-severity vulnerability affecting jenkins poll_scm. It was published on October 5, 2017 and has a CVSS 3.0 base score of 8.8 (HIGH).
How severe is CVE-2017-1000093?
This vulnerability has a CVSS 3.0 base score of 8.8, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.
How do I fix or remediate CVE-2017-1000093?
Check the references section for vendor advisories and patches from jenkins. Update poll_scm 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-2017-1000093?
CyberStrike's AI-powered security agents can automatically detect CVE-2017-1000093 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 HIGH CVEs from 2017
View all →An issue was discovered in St. Jude Medical Merlin@home, versions prior to Version 8.2.2 (RF models:
Unrestricted file upload vulnerability in the fileUnzip->unzip method in Dotclear before 2.10.3 allo
The Parental Control panel in Genexis devices with DRGOS before 1.14.1 allows remote authenticated u
An issue was discovered in EMC ScaleIO versions before 2.0.1.1. A low-privileged local attacker may
eClinicalWorks Population Health (CCMR) suffers from an SQL injection vulnerability in portalUserSer
eClinicalWorks Population Health (CCMR) suffers from a cross-site request forgery (CSRF) vulnerabili
Microsoft Edge allows remote attackers to bypass the Same Origin Policy via vectors involving the ab
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable memory corruption vulnerabili
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable memory corruption vulnerabili
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable heap overflow vulnerability w
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable memory corruption vulnerabili
Adobe Flash Player versions 24.0.0.186 and earlier have an exploitable memory corruption vulnerabili