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CVE-2026-79657 is an unsafe pickle deserialization vulnerability affecting NLTK versions before 3.10.3. The affected allowlisted pickle loaders trust entire module namespaces rather than explicitly approved safe callables. Crafted pickle artifacts can use REDUCE operations to invoke dangerous functions during model or tokenizer loading. Identified gadget paths include ReppTokenizer._execute, which reaches subprocess.Popen, and numpy.f2py.crackfortran.myeval, which reaches attacker-controlled eval. Deserializing a malicious artifact can execute arbitrary commands.
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No public exploit code observed for this vulnerability.
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8 sources tracked across advisories, community write-ups, and news. New activity surfaces here as Mallory finds it.
A network-accessible vulnerability whose CVSS vectors indicate low attack complexity, no required privileges or user interaction, and high confidentiality, integrity, and availability impacts to the vulnerable system. The content does not identify the affected product or underlying flaw. Exploits are available, and a patch was published on September 9, 2026.
A remote code-execution vulnerability in NLTK's supposedly restricted pickle deserialization. Broad module-prefix allowlists in tokenizer and transition-parser loaders enabled attacker-controlled pickle payloads to reach subprocess and eval execution gadgets when an application loaded an attacker-controlled model or tokenizer artifact.
A critical, network-accessible vulnerability affecting Debian Linux 11.0, 12.0, and 13.0, with CVSS v3 and v4 vectors indicating no required privileges or user interaction and high impact to confidentiality, integrity, and availability.
A critical remote code execution vulnerability in NLTK before version 3.10.3 caused by unsafe pickle deserialization in allowlisted pickle loaders that trust entire module namespaces.
Query your assets running an affected version, and investigate the blast radius.
Every observed campaign linking this CVE to a named adversary.
Malware families riding this exploit, with evidence and IOCs.
YARA, Sigma, Snort, and vendor rules, auto-deployed to your SIEM.
Cross-references every affected SKU, including bundled OEM variants.
Community discussion across Reddit, Mastodon, and other social sources.