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CVE-2025-71436

7.1High

Published 20 Oct 2026 · NVD status: Received · AI triage by gemini-3.8-flash

7.1High
Attack vector
Network
Complexity
Low
Privileges needed
None
User interaction
Required
Impact
High impact on availability
Weakness
CWE-122

Impact

Remote attackers can crash services or potentially execute arbitrary code by tricking an application or user into parsing a malicious RDF document. The attacker needs to supply a specially crafted Turtle, TriG, N-Triples, or N-Quads file with an oversized language tag.

Root cause

The raptor_new_term_from_counted_literal() function truncates language tag lengths to an unsigned char, leading to an undersized allocation and a heap-based buffer overflow when parsing tags 256 bytes or longer.

Affected systems

Raptor RDF Syntax Library (raptor2) 2.0.15 through 2.0.16

CVSS v3.1 · CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:L/A:H

Fix & remediation

Apply upstream commit 361a803a72817ae771db2438277229e6541e1575 or update to a patched release once packaged by your distribution. If patching must wait, block or reject RDF documents containing language tags of 256 bytes or longer at the ingestion layer.

shell
$ dpkg -l | grep raptor || rpm -qa | grep raptor

AI-suggested. Run it in staging first and check it against the vendor advisory. Why?

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NVD description

Raptor RDF Syntax Library from 2.0.15 through 2.0.16 contains a heap-based buffer overflow vulnerability in raptor_new_term_from_counted_literal() caused by truncating language tag length to an unsigned char. Attackers can supply Turtle, TriG, N-Triples or N-Quads documents with language tags of 256 bytes or longer to corrupt heap memory, crash applications, and possibly execute code.

References

Source: nvd.nist.gov/vuln/detail/CVE-2025-71436

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