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CVE Scan for mysql:8

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17 Known Vulnerabilities in this Docker Image

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Critical
8
High
9
Medium
0
Low
0
Info/ Unspecified/ Unknown
CVE IDSeverityPackageAffected VersionFixed VersionCVSS Score
CVE-2026-21441highpkg:pypi/urllib3@2.5.0>=1.22,<2.6.32.6.38.9

Impact

urllib3's streaming API is designed for the efficient handling of large HTTP responses by reading the content in chunks, rather than loading the entire response body into memory at once.

urllib3 can perform decoding or decompression based on the HTTP Content-Encoding header (e.g., gzip, deflate, br, or zstd). When using the streaming API, the library decompresses only the necessary bytes, enabling partial content consumption.

However, for HTTP redirect responses, the library would read the entire response body to drain the connection and decompress the content unnecessarily. This decompression occurred even before any read methods were called, and configured read limits did not restrict the amount of decompressed data. As a result, there was no safeguard against decompression bombs. A malicious server could exploit this to trigger excessive resource consumption on the client (high CPU usage and large memory allocations for decompressed data; CWE-409).

Affected usages

Applications and libraries using urllib3 version 2.6.2 and earlier to stream content from untrusted sources by setting preload_content=False when they do not disable redirects.

Remediation

Upgrade to at least urllib3 v2.6.3 in which the library does not decode content of redirect responses when preload_content=False.

If upgrading is not immediately possible, disable redirects by setting redirect=False for requests to untrusted source.

Relevance:

CVE-2026-21441, if it affects the `library/mysql:8` image, could be relevant in scenarios where MySQL is exposed to untrusted networks or users, potentially allowing unauthorized access or data manipulation. It becomes critical in environments with strict security requirements, such as databases handling sensitive or regulated data. Regular updates and proper network configurations can mitigate its impact. (Note: Relevance analysis is automatically generated and may require verification.)

Package URL(s):
  • pkg:pypi/urllib3@2.5.0
CVE-2025-66418highpkg:pypi/urllib3@2.5.0>=1.24,<2.6.02.6.08.9
CVE-2025-66471highpkg:pypi/urllib3@2.5.0>=1.0,<2.6.02.6.08.9
CVE-2025-61729highpkg:golang/stdlib@1.24.6<1.24.111.24.117.5
CVE-2025-61723highpkg:golang/stdlib@1.24.6<1.24.81.24.87.5
CVE-2025-61725highpkg:golang/stdlib@1.24.6<1.24.81.24.87.5
CVE-2025-58187highpkg:golang/stdlib@1.24.6<1.24.91.24.97.5
CVE-2025-58188highpkg:golang/stdlib@1.24.6<1.24.81.24.87.5
CVE-2025-61727mediumpkg:golang/stdlib@1.24.6<1.24.111.24.116.5
CVE-2025-8869mediumpkg:pypi/pip@24.2<=25.225.35.9

Severity Levels

Exploitation could lead to severe consequences, such as system compromise or data loss. Requires immediate attention.

Vulnerability could be exploited relatively easily and lead to significant impact. Requires prompt attention.

Exploitation is possible but might require specific conditions. Impact is moderate. Should be addressed in a timely manner.

Exploitation is difficult or impact is minimal. Address when convenient or as part of regular maintenance.

Severity is not determined, informational, or negligible. Review based on context.

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