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    CVE-2022-23514

    Loofah is a general library for manipulating and transforming HTML/XML documents and fragments, built on top of Nokogiri. Loofah < 2.19.1 contains an inefficient regular expression that is susceptible to excessive backtracking when attempting to sanitize certain SVG attributes. This may lead to a denial of service through CPU resource consumption. This issue is patched in version 2.19.1.

    Published:Dec 13, 2022
    Last Modified:Nov 3, 2025
    EPS:Dec 14, 2022
    EPSS Score:0.00238
    CVSS Score:7.5

    Affected Products

    Vendor
    Loofah Project
    Product
    Loofah
    Vendor
    Redhat
    Product
    Satellite

    Exploits

    No exploit reference

    Common Attack Pattern Enumeration and Classification (CAPEC)

    CAPEC-492 Regular Expression Exponential Blowup

    Related CVEs

    CVE-2022-23515 (CVSS 6.1) — Loofah is a general library for manipulating and transforming HTML/XML documents and fragments, built on top o…
    CVE-2022-23516 (CVSS 7.5) — Loofah is a general library for manipulating and transforming HTML/XML documents and fragments, built on top o…
    CVE-2022-23518 (CVSS 6.1) — rails-html-sanitizer is responsible for sanitizing HTML fragments in Rails applications. Versions >= 1.0.3, < …
    CVE-2019-15587 (CVSS 5.4) — In the Loofah gem for Ruby through v2.3.0 unsanitized JavaScript may occur in sanitized output when a crafted …
    CVE-2018-16468 (CVSS 5.4) — In the Loofah gem for Ruby, through v2.2.2, unsanitized JavaScript may occur in sanitized output when a crafte…
    CVE-2018-8048 (CVSS 6.1) — In the Loofah gem through 2.2.0 for Ruby, non-whitelisted HTML attributes may occur in sanitized output by rep…

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High