CVE-2026-3446
Received Received - Intake
Base64 Decoding Logic Flaw in Python Allows Data Misinterpretation

Publication date: 2026-04-10

Last updated on: 2026-04-13

Assigner: Python Software Foundation

Description
When calling base64.b64decode() or related functions the decoding process would stop after encountering the first padded quad regardless of whether there was more information to be processed. This can lead to data being accepted which may be processed differently by other implementations. Use "validate=True" to enable stricter processing of base64 data.
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Meta Information
Published
2026-04-10
Last Modified
2026-04-13
Generated
2026-05-07
AI Q&A
2026-04-10
EPSS Evaluated
2026-05-05
NVD
EUVD
Affected Vendors & Products
Showing 2 associated CPEs
Vendor Product Version / Range
python cpython From 3.13 (inc) to 3.14 (inc)
python python *
Helpful Resources
Exploitability
CWE
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KEV
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CWE ID Description
CWE-345 The product does not sufficiently verify the origin or authenticity of data, in a way that causes it to accept invalid data.
Attack-Flow Graph
AI Powered Q&A
Can you explain this vulnerability to me?

CVE-2026-3446 is a vulnerability in Python's Base64 decoding functions, such as base64.b64decode() and binascii.a2b_base64(). The issue arises because the decoder, in its default non-strict mode, stops decoding after encountering the first padded quad (padding characters '='), ignoring any subsequent Base64 data. This behavior is non-compliant with RFC 4648, which specifies how padding should be handled.

Because of this, malformed or excess Base64 data after the first padding sequence can be silently ignored, leading to incorrect decoding results or acceptance of data that other implementations would process differently. This can cause security and correctness issues.

The fix modifies the decoder to conform strictly to RFC 4648 by properly handling padding characters: in non-strict mode, it ignores pad characters only if they appear before the end of the encoded data, and in strict mode, it raises errors for invalid padding sequences or excess data after padding.


How can this vulnerability impact me? :

This vulnerability can lead to incomplete or incorrect decoding of Base64-encoded data because the decoder stops processing after the first padding sequence, ignoring any additional data. As a result, data that should be fully decoded might be truncated or misinterpreted.

Such behavior can cause security or data integrity issues, especially if the decoded data is used for authentication, authorization, or other security-sensitive operations. Different Base64 implementations might interpret the same input differently, potentially allowing attackers to bypass validation or cause unexpected behavior.

To mitigate this risk, users should enable strict mode (e.g., by using strict=True in base64 decoding functions), which enforces proper validation and raises errors on invalid padding or excess data, preventing silent acceptance of malformed inputs.


How can this vulnerability be detected on my network or system? Can you suggest some commands?

This vulnerability relates to Python's Base64 decoding functions, which in non-strict mode silently ignore excess Base64 data after the first padding sequence. Detection involves identifying usage of base64.b64decode() or related functions that do not use strict=True and may process malformed Base64 data incorrectly.

To detect this on your system, you can audit Python code for calls to base64.b64decode() or binascii.a2b_base64() without the strict=True parameter.

On a network level, detection could involve monitoring Base64-encoded data streams or payloads for malformed Base64 sequences that include excess data after padding characters, which might be accepted incorrectly by vulnerable decoders.

Suggested commands include searching your codebase for base64 decoding calls without strict mode enabled, for example using grep:

  • grep -r "base64.b64decode(" /path/to/your/code | grep -v "strict=True"
  • grep -r "binascii.a2b_base64(" /path/to/your/code

Additionally, you can write test scripts to decode Base64 strings with excess padding or data after padding and check if the decoder accepts them without error, indicating vulnerability.


What immediate steps should I take to mitigate this vulnerability?

To mitigate this vulnerability immediately, you should modify your Python code to use the strict mode when calling Base64 decoding functions.

Specifically, use the parameter strict=True in base64.b64decode() and related functions to enforce stricter processing of Base64 data, which prevents premature termination of decoding at the first padded quad and rejects malformed Base64 inputs.

Example:

  • decoded_data = base64.b64decode(encoded_data, strict=True)

Additionally, ensure your Python environment is updated to a version that includes the fix for CVE-2026-3446 (backported to Python 3.13 and 3.14).

Review and test your applications to confirm that Base64 decoding behaves correctly and rejects malformed inputs.


How does this vulnerability affect compliance with common standards and regulations (like GDPR, HIPAA)?:

This vulnerability affects the compliance of Python's Base64 decoding functions with the RFC 4648 standard, which is a widely accepted specification for Base64 encoding and decoding. The incorrect handling of padding and excess data in Base64 decoding could lead to acceptance of malformed or incomplete data, which might be processed differently by other implementations.

While the CVE description and resources do not explicitly mention direct impacts on compliance with regulations such as GDPR or HIPAA, the issue could indirectly affect compliance by causing data integrity and security concerns. Improper decoding might lead to incorrect data processing or security vulnerabilities, which in regulated environments could result in non-compliance with data protection and security requirements.

The fix enforces stricter Base64 decoding that aligns with RFC 4648, improving data integrity and security by preventing silent acceptance of malformed Base64 inputs. This enhancement supports better compliance with security best practices that underpin regulatory requirements.


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