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Perl Regex Trie Compilation Integer Overflow Leading to Silent Match Corruption (CVE-2026-13221)

First seen Jul 15, 2026 · Updated Jul 15, 2026 · CVSS 9.1

perlregexinteger-overflowlogic-flawinput-validationagent-relevantrag-pipelinesupply-chain-risk

A flaw in Perl's regex engine (Perl_study_chunk) causes silent match corruption when an alternation pattern contains more than 65535 fixed-string branches, due to a 16-bit field overflow during trie compilation. This can produce false positive or false negative matches with no warning, undermining any security or filtering logic that relies on such patterns.

Technical Analysis

The vulnerability lies in Perl's trie optimization for large alternations, where the delta offset between the first branch and shared tail is stored in a 16-bit field within Perl_study_chunk. When more than 65535 fixed-string branches are compiled into a single trie, this field overflows silently, truncating the match decision table without raising any error or warning. The result is non-deterministic and incorrect regex behavior: strings that should match are rejected, and strings that should be rejected are matched, which is especially dangerous when such patterns are used for access control, input sanitization, allow/deny-listing, or content filtering. Exploitation requires an attacker to either control or influence the construction of a large alternation pattern (e.g., dynamically generated deny-lists, blocklists, or dictionary-based filters) or to craft input designed to exploit the resulting false-positive/false-negative behavior once such a pattern exists. This is not a memory-corruption or code-execution bug but a logic-integrity flaw, making it high severity primarily due to the silent and unannounced nature of the failure in security-critical matching decisions. For AI agent systems, this flaw poses a real risk: agents and RAG pipelines that use Perl-based regex filtering for prompt sanitization, tool-input validation, content moderation, or blocklist enforcement (e.g., large keyword/entity trie-based filters) could silently allow malicious inputs through or block legitimate ones, undermining guardrails without any detectable error.

Affected Systems

Perl versions through 5.43.9 using the standard regex engine; any application, security tool, WAF, content filter, or agent framework component that constructs large regex alternations (>65535 branches) compiled via Perl_study_chunk, including dynamically generated blocklists/allowlists and dictionary-based pattern matching used in filtering or access-control logic.

Indicators of Compromise

  • No file-based or network IOCs applicable; this is a logic/implementation flaw, not an exploit payload.
  • Indicator: regex patterns with alternations exceeding 65535 fixed-string branches
  • Indicator: unexplained false positive/negative matches in security filtering logs using large Perl-based blocklists

Remediation Steps

  1. 1

    Patch Perl

    Upgrade to a patched Perl release once available that fixes the 16-bit field overflow in Perl_study_chunk trie compilation.

  2. 2

    Audit large alternation patterns

    Identify any regex patterns in production code, security filters, or agent guardrail logic that contain more than 65535 fixed-string alternation branches and assess for silent match failures.

  3. 3

    Reduce alternation size

    Where possible, split very large alternations into smaller chunks or use alternative data structures (e.g., hash-based lookups) instead of relying on massive regex alternations for filtering decisions.

  4. 4

    Add validation and monitoring

    Implement independent validation or logging around security-critical regex matches to detect anomalous allow/deny behavior that may indicate this or similar silent-failure conditions.

  5. 5

    Review agent and RAG filtering logic

    For AI agent pipelines using Perl-based regex filtering for input sanitization or content moderation, verify pattern sizes and consider alternative matching engines with confirmed correctness guarantees for large rule sets.

CVE / Advisory IDs

CVE-2026-13221

Industries Most Exposed

TechnologySoftware DevelopmentCybersecurityTelecommunicationsFinancial ServicesCloud Services

Sources

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