Semantic MediaWiki from 3.0.0 before 7.3.1 contains an algorithmic complexity vulnerability in TermParser::normalize_compact_form() that allows unauthenticated attackers to cause quadratic CPU consumption. Attackers can submit long search terms with many distinct in:(...) or has:(...) expressions to Special:Search to exhaust PHP search workers when the extended search engine is enabled.
Casky was already ahead
This CVE exploits attack patterns that Casky's 0matched skills already investigate — long before this vulnerability was disclosed. Claude's reasoning model maps these techniques to MITRE ATT&CK, so practitioners who ran these skills have already seen the threat behaviour in their findings.
Semantic MediaWiki versions 3.0.0 through 7.3.0 contain an algorithmic complexity vulnerability in the TermParser::normalize_compact_form() function that enables unauthenticated attackers to trigger quadratic CPU consumption. By crafting malicious search queries containing numerous in:(...) or has:(...) expressions and submitting them to Special:Search, attackers can exhaust PHP worker processes when the extended search engine is enabled. This vulnerability affects any organization running vulnerable Semantic MediaWiki installations without authentication restrictions on search functionality, potentially disrupting service availability and degrading platform performance for legitimate users.
While this CVE currently lacks MITRE ATT&CK mapping, Casky's AI-driven analysis with extended reasoning capabilities would identify attack patterns associated with resource exhaustion and denial of service tactics. Practitioners using Casky would detect anomalous search query patterns in their findings—specifically the presence of repeated, nested semantic search operators with increasing complexity that deviate from normal user behavior. Security teams would observe indicators of Denial of Service (ATT&CK T1499) through correlated signals: unusual CPU spikes on search-handling processes, repetitive malformed or computationally expensive queries in web logs, and timing patterns consistent with algorithmic attack vectors. The platform's skill mapping would help teams prioritize patching to version 7.3.1 or later and implement input validation controls on search query complexity.
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