<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="../assets/feed.xsl"?><rss version="2.0"><channel><title>PatchTheCVE: snorkel</title><link>https://patchthecve.com/</link><description>CVEs with upgrade or downgrade fix steps</description><item><title>CVE-2026-31224: The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Multitask</title><link>https://patchthecve.com/cve/CVE-2026-31224.html</link><guid>https://patchthecve.com/cve/CVE-2026-31224.html</guid><pubDate>Mon, 19 Oct 2026 22:10:00 +0000</pubDate><description>HIGH 8.8: The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the MultitaskClassifier.load() method of the MultitaskClassifier class. The method loads model weight files using torch.load() without enabling the security-restrictive weights_only=True parameter. This </description></item><item><title>CVE-2026-31223: The snorkel library thru v0.10.0 contains a critical insecure deserialization vulnerability (CWE-502) in the B</title><link>https://patchthecve.com/cve/CVE-2026-31223.html</link><guid>https://patchthecve.com/cve/CVE-2026-31223.html</guid><pubDate>Mon, 19 Oct 2026 22:10:00 +0000</pubDate><description>HIGH 8.8: The snorkel library thru v0.10.0 contains a critical insecure deserialization vulnerability (CWE-502) in the BaseLabeler.load() method of the BaseLabeler class. The method loads serialized labeler models using the unsafe pickle.load() function on user-supplied file paths without any validation or se</description></item><item><title>CVE-2026-31222: The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Trainer.l</title><link>https://patchthecve.com/cve/CVE-2026-31222.html</link><guid>https://patchthecve.com/cve/CVE-2026-31222.html</guid><pubDate>Mon, 19 Oct 2026 22:10:00 +0000</pubDate><description>HIGH 8.8: The snorkel library thru v0.10.0 contains an insecure deserialization vulnerability (CWE-502) in the Trainer.load() method of the Trainer class. The method loads model checkpoint files using torch.load() without enabling the security-restrictive weights_only=True parameter. This default behavior all</description></item></channel></rss>