CVE-2023-25577 Details
Werkzeug is a comprehensive WSGI web application library. Prior to version 2.2.3, Werkzeug's multipart form data parser will parse an unlimited number of parts, including file parts. Parts can be a small amount of bytes, but each requires CPU time to parse and may use more memory as Python data. If a request can be made to an endpoint that accesses `request.data`, `request.form`, `request.files`, or `request.get_data(parse_form_data=False)`, it can cause unexpectedly high resource usage. This allows an attacker to cause a denial of service by sending crafted multipart data to an endpoint that will parse it. The amount of CPU time required can block worker processes from handling legitimate requests. The amount of RAM required can trigger an out of memory kill of the process. Unlimited file parts can use up memory and file handles. If many concurrent requests are sent continuously, this can exhaust or kill all available workers. Version 2.2.3 contains a patch for this issue.
View at NVD
Exploit prediction scoring system (EPSS) score for CVE-2023-25577
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%).
0.33 Probability of exploitation activity being observed over the next 30 days (56th percentile)
CVSS score for CVE-2023-25577
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-2023-25577
Werkzeug 0.10
Werkzeug 0.10.1
Werkzeug 0.10.4
Werkzeug 0.11
Werkzeug 0.11.1
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.
Low
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CVE-2023-25577 Global Footprint

Top 10 Identified Countries

Country Observations Percentage
US 20,254 27.15%
DE 10,119 13.57%
CN 7,056 9.46%
NL 4,438 5.95%
GB 4,354 5.84%
SG 3,970 5.32%
FR 3,495 4.69%
IN 1,533 2.06%
JP 1,415 1.90%
KR 1,332 1.79%

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CVE-2023-25577 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 48,956 81.95%
Telecommunications 7,017 11.75%
Media/Entertainment 3,061 5.12%
Education 313 0.52%
Government/Politics 88 0.15%
Retail 85 0.14%
Business Services 62 0.10%
Manufacturing 29 0.05%
Finance 24 0.04%
Food Production 16 0.03%

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