FKIE_CVE-2026-80227
Vulnerability from fkie_nvd - Published: 2026-08-30 12:17 - Updated: 2026-08-30 12:17
Severity
Summary
Incorrect Comparison vulnerability in ash-project ash_sql allows a user to pad a string field with tab, newline, carriage-return, or form-feed characters and pass a trimmed uniqueness or equality check in the database that the same expression would fail in memory (or the reverse).
string_trim/1 compiles to REGEXP_REPLACE patterns built from an Elixir string in which \s is the escape for a single space (codepoint 32), not a regex whitespace class. The generated SQL therefore removes only literal spaces and leaves tabs, newlines, carriage returns, and form feeds in place, whereas String.trim/1 in Elixir removes them all. Any Ash filter, validation, or identity that relies on string_trim/1 then behaves differently depending on whether Ash pushes the expression down to SQL or evaluates it in memory, so padded input can register a near-duplicate value or slip past a trimmed comparison.
This issue affects ash_sql: from 0.1.0 before 0.7.1.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"collectionURL": "https://repo.hex.pm",
"cpes": [
"cpe:2.3:a:ash-project:ash_sql:*:*:*:*:*:*:*:*"
],
"defaultStatus": "unaffected",
"modules": [
"\u0027Elixir.AshSql.Expr\u0027"
],
"packageName": "ash_sql",
"packageURL": "pkg:hex/ash_sql",
"product": "ash_sql",
"programFiles": [
"lib/expr.ex"
],
"programRoutines": [
{
"name": "\u0027Elixir.AshSql.Expr\u0027:do_dynamic_expr/6"
}
],
"repo": "https://github.com/ash-project/ash_sql",
"vendor": "ash-project",
"versions": [
{
"lessThan": "0.7.1",
"status": "affected",
"version": "0.1.0",
"versionType": "semver"
}
]
},
{
"collectionURL": "https://github.com",
"cpes": [
"cpe:2.3:a:ash-project:ash_sql:*:*:*:*:*:*:*:*"
],
"defaultStatus": "unaffected",
"modules": [
"\u0027Elixir.AshSql.Expr\u0027"
],
"packageName": "ash-project/ash_sql",
"packageURL": "pkg:github/ash-project/ash_sql",
"product": "ash_sql",
"programFiles": [
"lib/expr.ex"
],
"programRoutines": [
{
"name": "\u0027Elixir.AshSql.Expr\u0027:do_dynamic_expr/6"
}
],
"repo": "https://github.com/ash-project/ash_sql",
"vendor": "ash-project",
"versions": [
{
"lessThan": "1b11b5d8bc5321e2e6acac21594ef08f61986117",
"status": "affected",
"version": "dd092ed273dec7bd2194352f24a39229fc8ae68b",
"versionType": "git"
}
]
}
],
"source": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Incorrect Comparison vulnerability in ash-project ash_sql allows a user to pad a string field with tab, newline, carriage-return, or form-feed characters and pass a trimmed uniqueness or equality check in the database that the same expression would fail in memory (or the reverse).\n\nstring_trim/1 compiles to REGEXP_REPLACE patterns built from an Elixir string in which \\s is the escape for a single space (codepoint 32), not a regex whitespace class. The generated SQL therefore removes only literal spaces and leaves tabs, newlines, carriage returns, and form feeds in place, whereas String.trim/1 in Elixir removes them all. Any Ash filter, validation, or identity that relies on string_trim/1 then behaves differently depending on whether Ash pushes the expression down to SQL or evaluates it in memory, so padded input can register a near-duplicate value or slip past a trimmed comparison.\n\nThis issue affects ash_sql: from 0.1.0 before 0.7.1."
}
],
"id": "CVE-2026-80227",
"lastModified": "2026-08-30T12:17:18.710",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "PRESENT",
"attackVector": "LOCAL",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 2.1,
"baseSeverity": "LOW",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "NONE",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:L/AC:L/AT:P/PR:N/UI:N/VC:N/VI:L/VA:N/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "LOW",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"type": "Secondary"
}
]
},
"published": "2026-08-30T12:17:18.710",
"references": [
{
"source": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"url": "https://cna.erlef.org/cves/CVE-2026-80227.html"
},
{
"source": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"url": "https://github.com/ash-project/ash_sql/commit/1b11b5d8bc5321e2e6acac21594ef08f61986117"
},
{
"source": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"url": "https://github.com/ash-project/ash_sql/security/advisories/GHSA-76wx-w7ww-5xfq"
},
{
"source": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"url": "https://osv.dev/vulnerability/EEF-CVE-2026-80227"
}
],
"sourceIdentifier": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-697"
}
],
"source": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"type": "Secondary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
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.
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.
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