CVE-2026-9669

Python versions before 3.3.4 RC1 allow remote attackers to cause a denial of service via a file size value larger than the size of the zip file in functions related to reading and extracting zip files.

The email module in Python through 3.11.3 incorrectly parses email addresses containing special characters. The wrong portion of an RFC2822 header is identified as the value of the addr-spec.

A vulnerability in the urllib.parse component of Python before version 3.11.4 allows attackers to bypass blocklisting methods by supplying a URL that starts with blank characters.

The email module in Python, specifically the BytesGenerator class, improperly quotes newlines in email headers during serialization, allowing header injection. This only affects usage of LiteralHeader that does not respect email folding.

A flaw was found in Python's urllib.parse module where the urlparse method does not sanitize input, allowing characters like ' ' and ' ' in the URL path. This can lead to CRLF injection attacks.

A vulnerability in Python 3.9.x before 3.9.16 and 3.10.x before 3.10.9 on Linux allows local privilege escalation in a non-default configuration. The multiprocessing library with the forkserver start method permits pickle deserialization from any user on the same local network of the machine.

When decompressing crafted zip files using the bzip/LZMA/Zstandard compressions, Python could use an attacker-controlled size to pre-allocate memory, possibly resulting in memory exhaustion.

The 'stringprep' module did not process characters from RFC 3454 tables B.2 or B.3 correctly: the latest Unicode codepoint attributes were used instead of the specified Unicode 3.2.0. This causes mismatches when processing domain names using IDNA 2003 (the 'idna' codec) and the in_table_b2() function of the 'stringprep' module. This only affects domain names containing characters that were not previously registered or had their Unicode attributes such as case-folding behavior updated since Unicode 3.2.0.

A vulnerability in Python's csv.Sniffer where attacker-controlled CSV samples can trigger super-linear regular-expression work during dialect sniffing, consuming significant CPU.

The incremental HTML parser (html.parser.HTMLParser) allows CPU denial-of-service through repeated unterminated markup declarations when processing uncontrolled data.