CVE-2026-82580 (GCVE-0-2026-82580)
Vulnerability from cvelistv5 – Published: 2026-08-31 01:09 – Updated: 2026-08-31 16:06
VLAI
EPSS
VEX
Title
AshAi echoes raw tool exception messages into the conversation, disclosing internal details
Summary
Generation of Error Message Containing Sensitive Information vulnerability in ash-project ash_ai discloses internal error text to chat users.
In AshAi.ToolLoop and AshAi.Tools, an exception raised while executing a tool was serialized verbatim with Exception.message/1 into the tool-result content. That content is appended to the conversation, emitted as a {:tool_result, ...} stream event, and sent back to the model, which typically relays it to the user. No filtering happened first, so anything raised inside a tool callback or lifecycle hook (database constraint messages, adapter errors, query fragments, policy or validation internals) was echoed as-is. A chat user who can steer tool arguments into a raising code path receives the raw internal text. The fix routes raised tool errors through the same safe formatter used for other tool errors.
This issue affects ash_ai: from 0.6.0 before 1.0.0.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-31 16:06 UTC
CWE
- CWE-209 - Generation of Error Message Containing Sensitive Information
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/ash-project/ash_ai/security/ad… | vendor-advisoryrelated |
| https://cna.erlef.org/cves/CVE-2026-82580.html | related |
| https://osv.dev/vulnerability/EEF-CVE-2026-82580 | related |
| https://github.com/ash-project/ash_ai/commit/c68d… | patch |
Impacted products
2 products
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| ash-project | ash_ai |
Affected:
0.6.0 , < 1.0.0
(semver)
cpe:2.3:a:ash-project:ash_ai:*:*:*:*:*:*:*:* |
||
| ash-project | ash_ai |
Affected:
bc2122f78fca6c11d8ec2b9ac53148ec17476460 , < c68dfbdb220426dc015b58379e95bde8e9f0995a
(git)
cpe:2.3:a:ash-project:ash_ai:*:*:*:*:*:*:*:* |
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"value": "\u003cp\u003eGeneration of Error Message Containing Sensitive Information vulnerability in ash-project ash_ai discloses internal error text to chat users.\u003c/p\u003e\n\u003cp\u003eIn \u003ccode\u003eAshAi.ToolLoop\u003c/code\u003e and \u003ccode\u003eAshAi.Tools\u003c/code\u003e, an exception raised while executing a tool was serialized verbatim with \u003ccode\u003eException.message/1\u003c/code\u003e into the tool-result content. That content is appended to the conversation, emitted as a \u003ccode\u003e{:tool_result, ...}\u003c/code\u003e stream event, and sent back to the model, which typically relays it to the user. No filtering happened first, so anything raised inside a tool callback or lifecycle hook (database constraint messages, adapter errors, query fragments, policy or validation internals) was echoed as-is. A chat user who can steer tool arguments into a raising code path receives the raw internal text. The fix routes raised tool errors through the same safe formatter used for other tool errors.\u003c/p\u003e\n\u003cp\u003eThis issue affects ash_ai: from 0.6.0 before 1.0.0.\u003c/p\u003e"
},
{
"base64": false,
"type": "text/markdown",
"value": "Generation of Error Message Containing Sensitive Information vulnerability in ash-project ash_ai discloses internal error text to chat users.\n\nIn `AshAi.ToolLoop` and `AshAi.Tools`, an exception raised while executing a tool was serialized verbatim with `Exception.message/1` into the tool-result content. That content is appended to the conversation, emitted as a `{:tool_result, ...}` stream event, and sent back to the model, which typically relays it to the user. No filtering happened first, so anything raised inside a tool callback or lifecycle hook (database constraint messages, adapter errors, query fragments, policy or validation internals) was echoed as-is. A chat user who can steer tool arguments into a raising code path receives the raw internal text. The fix routes raised tool errors through the same safe formatter used for other tool errors.\n\nThis issue affects ash_ai: from 0.6.0 before 1.0.0."
}
],
"value": "Generation of Error Message Containing Sensitive Information vulnerability in ash-project ash_ai discloses internal error text to chat users.\n\nIn AshAi.ToolLoop and AshAi.Tools, an exception raised while executing a tool was serialized verbatim with Exception.message/1 into the tool-result content. That content is appended to the conversation, emitted as a {:tool_result, ...} stream event, and sent back to the model, which typically relays it to the user. No filtering happened first, so anything raised inside a tool callback or lifecycle hook (database constraint messages, adapter errors, query fragments, policy or validation internals) was echoed as-is. A chat user who can steer tool arguments into a raising code path receives the raw internal text. The fix routes raised tool errors through the same safe formatter used for other tool errors.\n\nThis issue affects ash_ai: from 0.6.0 before 1.0.0."
}
],
"impacts": [
{
"capecId": "CAPEC-54",
"descriptions": [
{
"lang": "en",
"value": "CAPEC-54 Query System for Information"
}
]
}
],
"metrics": [
{
"cvssV4_0": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"baseScore": 5.3,
"baseSeverity": "MEDIUM",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "NONE",
"subIntegrityImpact": "NONE",
"userInteraction": "NONE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "LOW",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"format": "CVSS",
"scenarios": [
{
"lang": "en",
"value": "GENERAL"
}
]
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-209",
"description": "CWE-209 Generation of Error Message Containing Sensitive Information",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-08-31T01:09:00.192Z",
"orgId": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"shortName": "EEF"
},
"references": [
{
"tags": [
"vendor-advisory",
"related"
],
"url": "https://github.com/ash-project/ash_ai/security/advisories/GHSA-5747-6mpw-6m9c"
},
{
"tags": [
"related"
],
"url": "https://cna.erlef.org/cves/CVE-2026-82580.html"
},
{
"tags": [
"related"
],
"url": "https://osv.dev/vulnerability/EEF-CVE-2026-82580"
},
{
"tags": [
"patch"
],
"url": "https://github.com/ash-project/ash_ai/commit/c68dfbdb220426dc015b58379e95bde8e9f0995a"
}
],
"source": {
"discovery": "EXTERNAL"
},
"title": "AshAi echoes raw tool exception messages into the conversation, disclosing internal details"
}
},
"cveMetadata": {
"assignerOrgId": "6b3ad84c-e1a6-4bf7-a703-f496b71e49db",
"assignerShortName": "EEF",
"cveId": "CVE-2026-82580",
"datePublished": "2026-08-31T01:09:00.192Z",
"dateReserved": "2026-08-30T15:00:01.232Z",
"dateUpdated": "2026-08-31T16:06:44.151Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
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Drag nodes to arrange them. Double-click a related vulnerability to open it, or a source to visit its link. The Physics button on the left tunes the layout and the simulation; the legend at the bottom left hides or shows nodes by kind and by sighting type.
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.
Vulnerability timeline
Sightings and recorded dates, grouped by day · UTC
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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.
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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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.