CVE-2026-41318 (GCVE-0-2026-41318)
Vulnerability from cvelistv5 – Published: 2026-04-24 02:57 – Updated: 2026-04-24 18:17
VLAI
EPSS
VEX
Title
AnythingLLM vulnerable to stored DOM XSS in chart caption renderer - LLM-driven prompt injection produces executable HTML via unsanitized renderMarkdown(content.caption) in Chartable component
Summary
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to version 1.12.1, AnythingLLM's in-chat markdown renderer has an unsafe custom rule for images that interpolates the markdown image's `alt` text into an HTML `alt="..."` attribute without any HTML encoding. Every call-site in the app wraps `renderMarkdown(...)` with `DOMPurify.sanitize(...)` as defense-in-depth — except the `Chartable` component, which renders chart captions with no sanitization. The chart caption is the natural-language text the LLM emits around a `create-chart` tool call, so any attacker who can influence the LLM's output — most cheaply via indirect prompt injection in a shared workspace document, or directly if they can create a chart record in a multi-user workspace — can trigger stored DOM-level XSS in every other user's browser when they open that conversation. AnythingLLM chat history is loaded server-side via `GET /api/workspace/:slug/chats` and rendered directly into the chat UI. Version 1.12.1 contains a patch for this issue.
Severity
5.4 (Medium)
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-24 17:24 UTC
CWE
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://github.com/Mintplex-Labs/anything-llm/sec… | x_refsource_CONFIRM |
| https://github.com/Mintplex-Labs/anything-llm/com… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| Mintplex-Labs | anything-llm |
Affected:
< 1.12.1
|
guessed |
{
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41318",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-24T17:24:46.472539Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-04-24T18:17:42.185Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-4q6m-qh3w-9gf5"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "anything-llm",
"vendor": "Mintplex-Labs",
"versions": [
{
"status": "affected",
"version": "\u003c 1.12.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to version 1.12.1, AnythingLLM\u0027s in-chat markdown renderer has an unsafe custom rule for images that interpolates the markdown image\u0027s `alt` text into an HTML `alt=\"...\"` attribute without any HTML encoding. Every call-site in the app wraps `renderMarkdown(...)` with `DOMPurify.sanitize(...)` as defense-in-depth \u2014 except the `Chartable` component, which renders chart captions with no sanitization. The chart caption is the natural-language text the LLM emits around a `create-chart` tool call, so any attacker who can influence the LLM\u0027s output \u2014 most cheaply via indirect prompt injection in a shared workspace document, or directly if they can create a chart record in a multi-user workspace \u2014 can trigger stored DOM-level XSS in every other user\u0027s browser when they open that conversation. AnythingLLM chat history is loaded server-side via `GET /api/workspace/:slug/chats` and rendered directly into the chat UI. Version 1.12.1 contains a patch for this issue."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:L/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-79",
"description": "CWE-79: Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-116",
"description": "CWE-116: Improper Encoding or Escaping of Output",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-1336",
"description": "CWE-1336: Improper Neutralization of Special Elements Used in a Template Engine",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-04-24T02:57:16.193Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-4q6m-qh3w-9gf5",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-4q6m-qh3w-9gf5"
},
{
"name": "https://github.com/Mintplex-Labs/anything-llm/commit/f5fa03f4728e483949f6360093bc3ea1ef555535",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/commit/f5fa03f4728e483949f6360093bc3ea1ef555535"
}
],
"source": {
"advisory": "GHSA-4q6m-qh3w-9gf5",
"discovery": "UNKNOWN"
},
"title": "AnythingLLM vulnerable to stored DOM XSS in chart caption renderer - LLM-driven prompt injection produces executable HTML via unsanitized renderMarkdown(content.caption) in Chartable component"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41318",
"datePublished": "2026-04-24T02:57:16.193Z",
"dateReserved": "2026-04-20T14:01:46.671Z",
"dateUpdated": "2026-04-24T18:17:42.185Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-41318",
"date": "2026-11-08",
"epss": "0.00195",
"percentile": "0.09242"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "anything-llm",
"vendor": "Mintplex-Labs",
"versions": [
{
"status": "affected",
"version": "\u003c 1.12.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:mintplexlabs:anythingllm:*:*:*:*:*:*:*:*",
"matchCriteriaId": "94CAE6B1-A382-49BB-8EC4-A1AD6F2DF101",
"versionEndExcluding": "1.12.1",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to version 1.12.1, AnythingLLM\u0027s in-chat markdown renderer has an unsafe custom rule for images that interpolates the markdown image\u0027s `alt` text into an HTML `alt=\"...\"` attribute without any HTML encoding. Every call-site in the app wraps `renderMarkdown(...)` with `DOMPurify.sanitize(...)` as defense-in-depth \u2014 except the `Chartable` component, which renders chart captions with no sanitization. The chart caption is the natural-language text the LLM emits around a `create-chart` tool call, so any attacker who can influence the LLM\u0027s output \u2014 most cheaply via indirect prompt injection in a shared workspace document, or directly if they can create a chart record in a multi-user workspace \u2014 can trigger stored DOM-level XSS in every other user\u0027s browser when they open that conversation. AnythingLLM chat history is loaded server-side via `GET /api/workspace/:slug/chats` and rendered directly into the chat UI. Version 1.12.1 contains a patch for this issue."
},
{
"lang": "es",
"value": "AnythingLLM es una aplicaci\u00f3n que convierte piezas de contenido en contexto que cualquier LLM puede usar como referencias durante el chat. Antes de la versi\u00f3n 1.12.1, el renderizador de markdown en el chat de AnythingLLM tiene una regla personalizada insegura para im\u00e1genes que interpola el texto \u201calt\u201d de la imagen markdown en un atributo HTML \u201calt=\u201c...\u201d\u201d sin ninguna codificaci\u00f3n HTML. Cada sitio de llamada en la aplicaci\u00f3n envuelve \u201crenderMarkdown(...)\u201d con \u201cDOMPurify.sanitize(...)\u201d como defensa en profundidad - excepto el componente \u201cChartable\u201d, que renderiza los subt\u00edtulos de los gr\u00e1ficos sin sanitizaci\u00f3n. El subt\u00edtulo del gr\u00e1fico es el texto en lenguaje natural que el LLM emite alrededor de una llamada a la herramienta \u201ccreate-chart\u201d, por lo que cualquier atacante que pueda influir en la salida del LLM - de la forma m\u00e1s econ\u00f3mica a trav\u00e9s de la inyecci\u00f3n indirecta de prompts en un documento de espacio de trabajo compartido, o directamente si pueden crear un registro de gr\u00e1fico en un espacio de trabajo multiusuario - puede desencadenar XSS persistente a nivel de DOM en el navegador de cualquier otro usuario cuando abran esa conversaci\u00f3n. El historial de chat de AnythingLLM se carga en el lado del servidor a trav\u00e9s de \u201cGET /api/workspace/:slug/chats\u201d y se renderiza directamente en la interfaz de usuario del chat. La versi\u00f3n 1.12.1 contiene un parche para este problema."
}
],
"id": "CVE-2026-41318",
"lastModified": "2026-10-26T22:10:00.163",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 4.2,
"source": "security-advisories@github.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-41318",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-24T17:24:46.472539Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-04-24T04:16:20.193",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/commit/f5fa03f4728e483949f6360093bc3ea1ef555535"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-4q6m-qh3w-9gf5"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
"Exploit",
"Vendor Advisory"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-4q6m-qh3w-9gf5"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
},
{
"lang": "en",
"value": "CWE-116"
},
{
"lang": "en",
"value": "CWE-1336"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2026-06-05T19:36:51+00:00",
"cve": "CVE-2026-41318",
"id": "CVE-2026-41318",
"initial_release_date": "2026-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "AnythingLLM vulnerable to stored DOM XSS in chart caption renderer - LLM-driven prompt injection produces executable HTML via unsanitized renderMarkdown(content.caption) in Chartable component",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2026/cve-2026-41318.json",
"version": "3"
},
"vulnrichment": {
"containers": {
"adp": [
{
"metrics": [
{
"other": {
"content": {
"id": "CVE-2026-41318",
"options": [
{
"Exploitation": "poc"
},
{
"Automatable": "no"
},
{
"Technical Impact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-24T17:24:46.472539Z",
"version": "2.0.3"
},
"type": "ssvc"
}
}
],
"providerMetadata": {
"dateUpdated": "2026-04-24T17:24:57.200Z",
"orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"shortName": "CISA-ADP"
},
"references": [
{
"tags": [
"exploit"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-4q6m-qh3w-9gf5"
}
],
"title": "CISA ADP Vulnrichment"
}
],
"cna": {
"affected": [
{
"product": "anything-llm",
"vendor": "Mintplex-Labs",
"versions": [
{
"status": "affected",
"version": "\u003c 1.12.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatting. Prior to version 1.12.1, AnythingLLM\u0027s in-chat markdown renderer has an unsafe custom rule for images that interpolates the markdown image\u0027s `alt` text into an HTML `alt=\"...\"` attribute without any HTML encoding. Every call-site in the app wraps `renderMarkdown(...)` with `DOMPurify.sanitize(...)` as defense-in-depth \u2014 except the `Chartable` component, which renders chart captions with no sanitization. The chart caption is the natural-language text the LLM emits around a `create-chart` tool call, so any attacker who can influence the LLM\u0027s output \u2014 most cheaply via indirect prompt injection in a shared workspace document, or directly if they can create a chart record in a multi-user workspace \u2014 can trigger stored DOM-level XSS in every other user\u0027s browser when they open that conversation. AnythingLLM chat history is loaded server-side via `GET /api/workspace/:slug/chats` and rendered directly into the chat UI. Version 1.12.1 contains a patch for this issue."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:L/UI:R/S:U/C:H/I:L/A:N",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-79",
"description": "CWE-79: Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-116",
"description": "CWE-116: Improper Encoding or Escaping of Output",
"lang": "en",
"type": "CWE"
}
]
},
{
"descriptions": [
{
"cweId": "CWE-1336",
"description": "CWE-1336: Improper Neutralization of Special Elements Used in a Template Engine",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-04-24T02:57:16.193Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-4q6m-qh3w-9gf5",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/security/advisories/GHSA-4q6m-qh3w-9gf5"
},
{
"name": "https://github.com/Mintplex-Labs/anything-llm/commit/f5fa03f4728e483949f6360093bc3ea1ef555535",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/Mintplex-Labs/anything-llm/commit/f5fa03f4728e483949f6360093bc3ea1ef555535"
}
],
"source": {
"advisory": "GHSA-4q6m-qh3w-9gf5",
"discovery": "UNKNOWN"
},
"title": "AnythingLLM vulnerable to stored DOM XSS in chart caption renderer - LLM-driven prompt injection produces executable HTML via unsanitized renderMarkdown(content.caption) in Chartable component"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-41318",
"datePublished": "2026-04-24T02:57:16.193Z",
"dateReserved": "2026-04-20T14:01:46.671Z",
"dateUpdated": "2026-04-24T18:17:42.185Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2"
}
}
}
Loading…
Loading…
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
How durations are calculated
Following the VTEM framework (Black Hat USA 2015), time to patch starts when the vendor or a coordinator was informed, total time to patch at discovery, and disclosure to patch at public disclosure; vendor response time runs from the report to its acknowledgement. Time to exploit and time unpatched start at the earliest discovery or report, falling back to public disclosure. Unpatched time ends at the first recorded patch, or the calculation time when no patch is recorded. Exploitation to patch shows the interval between those two events; a published proof of concept is a public exploit, not exploitation.
Each result shows its source dates. A negative interval means the end event came first; when date-only inputs leave the order open, the result says so. Date-only inputs are approximate. The earliest evidence wins: KEV report dates and sightings are labelled as such. Records describing another vulnerability are listed but never calculated from, and a PoC alone does not establish exploitation. Missing patch evidence does not prove that no patch exists. Filters below change the event list only.
Loading timeline…
Loading…
Loading…
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.
Loading…
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.