Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata – not a confirmed exploit chain
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AccessSubmit CSS input with many non-ASCII characters
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ExploitTrigger inefficient multi-byte position tracking in parser
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ImpactExhaust CPU causing denial of service
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A06:2025 - Insecure Design
ASVS 5.0
V2 - Validation and Business Logic Resource consumption limits
MITRE ATT&CK
1 technique across 1 tactic: Impact The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Exploitation Conditions | Exploitation requires that the application passes attacker-controlled input to Crass's CSS tokenizer/parser and that the input contains many non-ASCII (multi-byte) characters - this multi-byte content is the specific trigger named in the advisory. The practical condition is therefore any deployment that parses untrusted or user-supplied CSS with Crass (including indirectly via sanitization libraries that embed it). Limiting factors: impact is confined to availability/CPU with no data exposure; the effect is superlinear degradation rather than a guaranteed crash; and exploitation is only reachable if an untrusted-input parsing path exists, so applications that never feed external input to Crass are not exposed. Authentication requirements not confirmed from available data (no CVSS vector provided). |
| Impact | No CVSS score or vector, no EPSS probability, and no KEV listing are provided, so quantitative exploitation signals are absent and cannot be compared; the only priority signal is the vuln.today Decision label 'this_month', which places this below act_now/emergency urgency. This is a CWE-400 resource-exhaustion (denial-of-service) flaw in the Crass Ruby CSS parser: impact is limited to availability (CPU consumption), with no confidentiality or integrity consequence, so even a high-CVSS reading would overstate blast radius. The attack is low-complexity and requires no authentication where an untrusted-CSS parsing path is reachable, which raises likelihood, but the effect is superlinear slowdown ('potentially denial of service') rather than a confirmed hard crash, so real-world severity depends on how exposed the parsing path is. No public exploit identified at time of analysis and no evidence of exploitation, so this reads as a genuine but moderate availability issue to patch on a routine ('this_month') cadence rather than an emergency. |
| Exploit ScenarioDerived | An attacker submits user-generated content - such as CSS in a profile, comment, or document - containing a large run of non-ASCII (multi-byte) characters to an application that parses it with Crass, often indirectly through a CSS sanitization pipeline. Crass's inefficient tracking of multi-byte character positions makes parse time grow superlinearly, so a single crafted input consumes disproportionate CPU and can degrade or deny service. No public exploit identified at time of analysis. |
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Alert meAnalysisAIv1 – Oct 29, 2026
Superlinear CPU consumption in Crass versions before 1.0.7 allows attackers who can supply CSS input containing many non-ASCII characters to force excessive parsing time and degrade availability for applications that parse untrusted stylesheets. The issue is a CWE-400 resource-consumption flaw with low availability impact and no confidentiality or integrity effect; no public exploit identified at time of analysis, and no CISA KEV entry is present, while no EPSS score was provided. The vendor fixed it in Crass 1.0.7.
RemediationAI
Vendor-released patch: 1.0.7. Upgrade Crass to 1.0.7 or later; the vendor states this is fixed in Crass 1.0.7, and the patch commit is http://github.com/rgrove/crass/commit/da29664648bf80a97a6439e030a4814291c9afa5. If upgrading is not immediately possible, the vendor workaround is to avoid passing non-ASCII input to Crass, which means rejecting or sanitizing non-ASCII CSS before parsing; this can break legitimate internationalized stylesheets and requires validation at every call path that feeds untrusted CSS into the gem. Advisory: https://github.com/rgrove/crass/security/advisories/GHSA-8vfg-2r28-hvhj.
Affected VersionsENISA
Affected Packages
Source: OSV (Open Source Vulnerabilities)
Affects your stack
Affects 1 package in rubygems
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
Crass is a Ruby CSS parser and tokenizer distributed as the rubygems/crass gem (CPE pkg:rubygems/crass). The CWE-400 root cause is inefficient position tracking for multi-byte characters during tokenization: as the number of non-ASCII characters in the input grows, parsing time increases superlinearly, so an attacker-controlled stylesheet with many such characters can consume disproportionate CPU. The trigger is specifically a large volume of non-ASCII characters in CSS passed to the parser; the advisory does not describe a crash or memory-corruption primitive, and the assessed CVSS:3.1 vector AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L confines impact to availability. Crass 1.0.7 also carries other denial-of-service fixes (GHSA-6wmf-3r64-vcwv, GHSA-6jxj-px6v-747w, GHSA-wwpr-jff3-395c), but CVE-2026-61848 corresponds to GHSA-8vfg-2r28-hvhj.
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Severity by source
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
Untrusted CSS is typically supplied remotely with no auth or interaction (AV:N/AC:L/PR:N/UI:N); only availability is affected and the advisory describes superlinear slowdown rather than full outage, so A:L and C:N/I:N.
Primary rating from Vendor (https://github.com/rgrove/crass).
CVSS VectorVendor: https://github.com/rgrove/crass
Lifecycle Timeline
1DescriptionCVE.org
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.
Threat Intelligence Overview
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
Denial of Service attacks render applications or systems unavailable by overwhelming resources or triggering failure conditions.
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EUVD-2026-114324
GHSA-8vfg-2r28-hvhj
NVD
CVE.org
EPSS
Exploit-DB