Exécuter une analyse statique (SAST) sur le code source à la recherche du motif non sécurisé dans le flux de données.
Inefficient Regular Expression Complexity
This vulnerability occurs when an application uses a poorly constructed regular expression that can trigger catastrophic backtracking, leading to extreme CPU consumption and potential…
What is CWE-1333?
Real-world CVEs caused by CWE-1333
-
server allows ReDOS with crafted User-Agent strings, due to overlapping capture groups that cause excessive backtracking.
-
npm package for user-agent parser prone to ReDoS due to overlapping capture groups
-
Markdown parser uses inefficient regex when processing a message, allowing users to cause CPU consumption and delay preventing processing of other messages.
-
Long string in a version control product allows DoS due to an inefficient regex.
-
Javascript code allows ReDoS via a long string due to excessive backtracking.
-
ReDoS when parsing time.
-
ReDoS when parsing documents.
-
ReDoS when validating URL.
Parcours de l'attaquant étape par étape
- 1
This example attempts to check if an input string is a "sentence" [REF-1164].
- 2
The regular expression has a vulnerable backtracking clause inside (\w+\s?)*$ which can be triggered to cause a Denial of Service by processing particular phrases. To fix the backtracking problem, backtracking is removed with the ?= portion of the expression which changes it to a lookahead and the \2 which prevents the backtracking. The modified example is:
- 3
Note that [REF-1164] has a more thorough (and lengthy) explanation of everything going on within the RegEx.
- 4
This example attempts to check if an input string is a "sentence" and is modified for Perl [REF-1164].
- 5
The regular expression has a vulnerable backtracking clause inside (\w+\s?)*$ which can be triggered to cause a Denial of Service by processing particular phrases. To fix the backtracking problem, backtracking is removed with the ?= portion of the expression which changes it to a lookahead and the \2 which prevents the backtracking. The modified example is:
Vulnerable JavaScript
This example attempts to check if an input string is a "sentence" [REF-1164].
var test_string = "Bad characters: $@#";
var bad_pattern = /^(\w+\s?)*$/i;
var result = test_string.search(bad_pattern); Secure JavaScript
The regular expression has a vulnerable backtracking clause inside (\w+\s?)*$ which can be triggered to cause a Denial of Service by processing particular phrases. To fix the backtracking problem, backtracking is removed with the ?= portion of the expression which changes it to a lookahead and the \2 which prevents the backtracking. The modified example is:
var test_string = "Bad characters: $@#";
var good_pattern = /^((?=(\w+))\2\s?)*$/i;
var result = test_string.search(good_pattern); How to prevent CWE-1333
- Architecture and Design Use regular expressions that do not support backtracking, e.g. by removing nested quantifiers.
- System Configuration Set backtracking limits in the configuration of the regular expression implementation, such as PHP's pcre.backtrack_limit. Also consider limits on execution time for the process.
- Implementation Do not use regular expressions with untrusted input. If regular expressions must be used, avoid using backtracking in the expression.
- Implementation Limit the length of the input that the regular expression will process.
How to detect CWE-1333
Exécuter des tests de sécurité applicative dynamique (DAST) contre le point de terminaison en ligne.
Surveiller les journaux runtime pour détecter des traces d'exception inhabituelles, des entrées malformées ou des tentatives de contournement d'autorisation.
Revue de code : signaler tout nouveau code qui traite les entrées de cette surface sans utiliser les helpers du framework validés.
Don't catalog this weakness. Prove it's reachable.
Plexicus turns CWE catalogs into evidence: every CWE-pattern is matched against your real code graph, reach is proven on a sandbox clone, and verified findings ship as reviewed PRs.
Frequently asked questions
Qu'est-ce que CWE-1333 ?
This vulnerability occurs when an application uses a poorly constructed regular expression that can trigger catastrophic backtracking, leading to extreme CPU consumption and potential denial-of-service.
Quelle est la gravité de CWE-1333 ?
MITRE évalue la probabilité d'exploitation comme Élevée — cette faiblesse est activement exploitée et doit être priorisée pour la remédiation.
Quels langages ou plateformes sont affectés par CWE-1333 ?
MITRE n'a pas spécifié les plateformes affectées pour ce CWE — il peut s'appliquer à la plupart des stacks applicatives.
Comment puis-je prévenir CWE-1333 ?
Use regular expressions that do not support backtracking, e.g. by removing nested quantifiers. Set backtracking limits in the configuration of the regular expression implementation, such as PHP's pcre.backtrack_limit. Also consider limits on execution time for the process.
Comment Plexicus détecte et corrige CWE-1333 ?
Le moteur SAST de Plexicus reconnaît la signature de flux de données de CWE-1333 à chaque commit. Lorsqu'une correspondance est trouvée, notre agent Codex Remedium ouvre une PR de correction avec le code corrigé, les tests et un résumé d'une ligne pour le relecteur.
Où puis-je en savoir plus sur CWE-1333 ?
MITRE publie la définition canonique à https://cwe.mitre.org/data/definitions/1333.html. Vous pouvez également consulter la documentation OWASP et NIST pour des conseils adjacents.
Weaknesses related to CWE-1333
Further reading
- MITRE — CWE-1333 officiel https://cwe.mitre.org/data/definitions/1333.html
- Regular Expression Denial of Service https://web.archive.org/web/20031120114522/http://www.cs.rice.edu/~scrosby/hash/slides/USENIX-RegexpWIP.2.ppt
- Runaway Regular Expressions: Catastrophic Backtracking https://www.regular-expressions.info/catastrophic.html
- Regular expression Denial of Service - ReDoS https://owasp.org/www-community/attacks/Regular_expression_Denial_of_Service_-_ReDoS
- Catastrophic backtracking https://javascript.info/regexp-catastrophic-backtracking
- Freezing the Web: A Study of ReDoS Vulnerabilities in JavaScript-based Web Servers https://www.usenix.org/system/files/conference/usenixsecurity18/sec18-staicu.pdf
- The Impact of Regular Expression Denial of Service (ReDoS) in Practice: An Empirical Study at the Ecosystem Scale https://fservant.github.io/papers/Davis_Coghlan_Servant_Lee_ESECFSE18.pdf
Prêt à valider ce qui compte.
Plexicus est Proof-Driven AppSec : findings validés, compréhension contextuelle et remédiation relue — ancrée dans la preuve, scopée avec vous.