Vulnerability-Lookup

GHSA-8VFG-2R28-HVHJ

Vulnerability from github – Published: 2026-10-29 16:35 – Updated: 2026-10-29 16:35

Summary

Crass: Non-ASCII characters cause superlinear CPU consumption

Details

Impact

When parsing an input containing non-ASCII characters, inefficiencies in how Crass tracks the positions of multi-byte characters result in superlinear parsing time. An attacker-controlled input consisting of many non-ASCII characters could cause excessive CPU consumption and potentially denial of service.

Patches

This is fixed in Crass 1.0.7.

Workarounds

Avoid passing non-ASCII input to Crass. Or cultivate patience.

Severity

6.3 (Medium)


                  
                    CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:L

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{
  "affected": [
    {
      "package": {
        "ecosystem": "RubyGems",
        "name": "crass"
      },
      "ranges": [
        {
          "events": [
            {
              "introduced": "0"
            },
            {
              "fixed": "1.0.7"
            }
          ],
          "type": "ECOSYSTEM"
        }
      ]
    }
  ],
  "aliases": [
    "CVE-2026-61848"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-400"
    ],
    "github_reviewed": true,
    "github_reviewed_at": "2026-10-29T16:35:29Z",
    "nvd_published_at": null,
    "severity": "MODERATE"
  },
  "details": "### Impact\n\nWhen parsing an input containing non-ASCII characters, inefficiencies in how Crass tracks the positions of multi-byte characters result in superlinear parsing time. An attacker-controlled input consisting of many non-ASCII characters could cause excessive CPU consumption and potentially denial of service.\n\n### Patches\n\nThis is fixed in Crass 1.0.7.\n\n### Workarounds\n\nAvoid passing non-ASCII input to Crass. Or cultivate patience.",
  "id": "GHSA-8vfg-2r28-hvhj",
  "modified": "2026-10-29T16:35:29Z",
  "published": "2026-10-29T16:35:29Z",
  "references": [
    {
      "type": "WEB",
      "url": "https://github.com/rgrove/crass/security/advisories/GHSA-8vfg-2r28-hvhj"
    },
    {
      "type": "PACKAGE",
      "url": "https://github.com/rgrove/crass"
    },
    {
      "type": "WEB",
      "url": "https://github.com/rgrove/crass/releases/tag/v1.0.7"
    },
    {
      "type": "WEB",
      "url": "http://github.com/rgrove/crass/commit/da29664648bf80a97a6439e030a4814291c9afa5"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:L",
      "type": "CVSS_V4"
    }
  ],
  "summary": "Crass: Non-ASCII characters cause superlinear CPU consumption"
}

CVE-2026-61848 (GCVE-0-2026-61848)

Vulnerability from cvelistv5 – Published: 2026-10-30 18:45 – Updated: 2026-10-30 18:45

Title

Crass: Non-ASCII characters cause superlinear CPU consumption

Summary

Crass is a Ruby CSS parser that's fully compliant with the CSS Syntax Level 3 specification. Prior to 1.0.7, when Crass parses input containing `non-ASCII characters`, inefficiencies in tracking the positions of `multi-byte characters` result in superlinear parsing time. An attacker-controlled CSS input consisting of many `non-ASCII characters` can therefore cause excessive CPU consumption and potentially denial of service. This issue is fixed in version 1.0.7.

Severity

6.3 (Medium)


                        
                          CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:L

CWE

CWE-400 - Uncontrolled Resource Consumption

Assigner

GitHub_M CNA under the mitre root

CNA scorecard C 72/100 over 7961 records in the last 180 days details

References

3 references

URL	Tags
https://github.com/rgrove/crass/security/advisori…	x_refsource_CONFIRM
https://github.com/rgrove/crass/releases/tag/v1.0.7	x_refsource_MISC
http://github.com/rgrove/crass/commit/da29664648b…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
rgrove	crass	Affected: < 1.0.7

Show details on NVD website

JSON

To clipboard

{
  "containers": {
    "cna": {
      "affected": [
        {
          "product": "crass",
          "vendor": "rgrove",
          "versions": [
            {
              "status": "affected",
              "version": "\u003c 1.0.7"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "Crass is a Ruby CSS parser that\u0027s fully compliant with the CSS Syntax Level 3 specification. Prior to 1.0.7, when Crass parses input containing `non-ASCII characters`, inefficiencies in tracking the positions of `multi-byte characters` result in superlinear parsing time. An attacker-controlled CSS input consisting of many `non-ASCII characters` can therefore cause excessive CPU consumption and potentially denial of service. This issue is fixed in version 1.0.7."
        }
      ],
      "metrics": [
        {
          "cvssV4_0": {
            "attackComplexity": "LOW",
            "attackRequirements": "PRESENT",
            "attackVector": "NETWORK",
            "baseScore": 6.3,
            "baseSeverity": "MEDIUM",
            "privilegesRequired": "NONE",
            "subAvailabilityImpact": "LOW",
            "subConfidentialityImpact": "NONE",
            "subIntegrityImpact": "NONE",
            "userInteraction": "NONE",
            "vectorString": "CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:L",
            "version": "4.0",
            "vulnAvailabilityImpact": "LOW",
            "vulnConfidentialityImpact": "NONE",
            "vulnIntegrityImpact": "NONE"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-400",
              "description": "CWE-400: Uncontrolled Resource Consumption",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2026-10-30T18:45:20.036Z",
        "orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
        "shortName": "GitHub_M"
      },
      "references": [
        {
          "name": "https://github.com/rgrove/crass/security/advisories/GHSA-8vfg-2r28-hvhj",
          "tags": [
            "x_refsource_CONFIRM"
          ],
          "url": "https://github.com/rgrove/crass/security/advisories/GHSA-8vfg-2r28-hvhj"
        },
        {
          "name": "https://github.com/rgrove/crass/releases/tag/v1.0.7",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/rgrove/crass/releases/tag/v1.0.7"
        },
        {
          "name": "http://github.com/rgrove/crass/commit/da29664648bf80a97a6439e030a4814291c9afa5",
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "http://github.com/rgrove/crass/commit/da29664648bf80a97a6439e030a4814291c9afa5"
        }
      ],
      "source": {
        "advisory": "GHSA-8vfg-2r28-hvhj",
        "discovery": "UNKNOWN"
      },
      "title": "Crass: Non-ASCII characters cause superlinear CPU consumption"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
    "assignerShortName": "GitHub_M",
    "cveId": "CVE-2026-61848",
    "datePublished": "2026-10-30T18:45:20.036Z",
    "dateReserved": "2026-07-10T20:28:17.513Z",
    "dateUpdated": "2026-10-30T18:45:20.036Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.2"
}

Sightings

Author	Source	Type	Date	Other

Nomenclature

Seen: The vulnerability was mentioned, discussed, or observed by the user.
Confirmed: The vulnerability has been validated from an analyst's perspective.
Published Proof of Concept: A public proof of concept is available for this vulnerability.
Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
Not confirmed: The user expressed doubt about the validity of the vulnerability.
Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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