CVE-2025-55752 Details
Relative Path Traversal vulnerability in Apache Tomcat.

The fix for bug 60013 introduced a regression where the rewritten URL was normalized before it was decoded. This introduced the possibility that, for rewrite rules that rewrite query parameters to the URL, an attacker could manipulate the request URI to bypass security constraints including the protection for /WEB-INF/ and /META-INF/. If PUT requests were also enabled then malicious files could be uploaded leading to remote code execution. PUT requests are normally limited to trusted users and it is considered unlikely that PUT requests would be enabled in conjunction with a rewrite that manipulated the URI.



This issue affects Apache Tomcat: from 11.0.0-M1 through 11.0.10, from 10.1.0-M1 through 10.1.44, from 9.0.0.M11 through 9.0.108.

The following versions were EOL at the time the CVE was created but are
known to be affected: 8.5.6 though 8.5.100. Other, older, EOL versions may also be affected.
Users are recommended to upgrade to version 11.0.11 or later, 10.1.45 or later or 9.0.109 or later, which fix the issue.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2025-55752
EPSS (Exploit Prediction Scoring System): EPSS predicts the likelihood that a vulnerability will be exploited in the wild. A higher percentage means a greater chance of an exploit occurring. The EPSS model produces a probability score between 0 and 1 (0 and 100%).
0.25 Probability of exploitation activity being observed over the next 30 days (48th percentile)
CVSS score for CVE-2025-55752
CVSS (Common Vulnerability Scoring System): An open framework owned and managed by FIRST.Org, Inc. that assigns a numerical score from 0 to 10 to software vulnerabilities to indicate their severity.
7.5 High
Products affected by CVE-2025-55752
Tomcat 10.0.0
Tomcat 10.0.10
Tomcat 10.0.11
Tomcat 10.0.12
Tomcat 10.0.13
DVE Score by Bitsight AI
DVE scores complement traditional static scoring systems like CVSS with Bitsight AI powered real-time threat intelligence and underground cyber criminal activity so that security teams can reduce alert fatigue and focus on vulnerabilities most likely to be exploited.
High
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CVE-2025-55752 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 20,138 24.73%
CN 18,727 23.00%
IN 4,511 5.54%
DE 4,120 5.06%
KR 3,180 3.91%
BR 2,548 3.13%
JP 2,275 2.79%
SG 2,072 2.54%
FR 1,739 2.14%
HK 1,673 2.05%

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CVE-2025-55752 Industry Footprint

Top 10 Identified Industries

*Service provider organizations (typically Technology and Telecommunications) are disproportionally represented in the results given their upstream ownership of end-user infrastructure. See our FAQs.

Industry* Observations Percentage
Technology 48,695 79.13%
Telecommunications 8,214 13.35%
Education 1,533 2.49%
Government/Politics 607 0.99%
Business Services 520 0.85%
Finance 427 0.69%
Retail 236 0.38%
Manufacturing 229 0.37%
Healthcare/Wellness 192 0.31%
Transportation 169 0.27%

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