CVE-2026-72846 (GCVE-0-2026-72846)
Vulnerability from cvelistv5 – Published: 2026-08-20 21:57 – Updated: 2026-08-21 11:20
VLAI
EPSS
VEX
Title
Lightdash Scheduled Delivery Webhook URLs Are Not Validated, Allowing Server-Side Request Forgery
Summary
Lightdash stores the webhook URL supplied with a scheduled delivery and later posts to it from sendWebhook in packages/backend/src/clients/GoogleChat/GoogleChatClient.ts and in packages/backend/src/clients/MicrosoftTeams/MicrosoftTeamsClient.ts. In affected versions both call fetch on the stored URL directly. The validatePublicHttpUrl helper in packages/backend/src/utils/ssrfProtection.ts, used for MCP server URLs, is not applied on either path, and the webhook fields carry no server-side URL constraint. A user able to create or trigger a scheduled delivery can therefore direct the server to issue POST requests to private, loopback and link-local addresses, including cloud metadata endpoints, and can distinguish reachable internal services from unreachable ones through the resulting errors. The upstream response is never returned to the requester; on a failure status its body is written to the server log instead. Version 1.146.4 routes both clients through postSchedulerWebhook from packages/backend/src/utils/schedulerWebhookValidation rather than calling fetch directly.
Severity
6.4 (Medium)
CWE
- CWE-918 - Server-Side Request Forgery (SSRF)
Assigner
References
6 references
| URL | Tags |
|---|---|
| https://github.com/lightdash/lightdash/issues/24389 | issue-tracking |
| https://github.com/lightdash/lightdash/blob/1.146… | technical-description |
| https://github.com/lightdash/lightdash/blob/1.146… | technical-description |
| https://github.com/lightdash/lightdash/releases/t… | release-notes |
| https://github.com/lightdash/lightdash | product |
| https://www.vulncheck.com/advisories/lightdash-sc… | third-party-advisory |
Impacted products
Date Public
2026-06-17 00:00
{
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"defaultStatus": "unaffected",
"packageURL": "pkg:npm/lightdash",
"product": "lightdash",
"programFiles": [
"packages/backend/src/clients/GoogleChat/GoogleChatClient.ts",
"packages/backend/src/clients/MicrosoftTeams/MicrosoftTeamsClient.ts"
],
"repo": "https://github.com/lightdash/lightdash",
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"versions": [
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}
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"providerMetadata": {
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"name": "Lightdash 1.146.4 Release Notes",
"tags": [
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"url": "https://github.com/lightdash/lightdash/releases/tag/1.146.4"
},
{
"tags": [
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"url": "https://github.com/lightdash/lightdash"
},
{
"name": "VulnCheck Advisory: Lightdash Scheduled Delivery Webhook URLs Are Not Validated, Allowing Server-Side Request Forgery",
"tags": [
"third-party-advisory"
],
"url": "https://www.vulncheck.com/advisories/lightdash-scheduled-delivery-webhook-urls-are-not-validated-allowing-server-side-request-forgery"
}
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"title": "Lightdash Scheduled Delivery Webhook URLs Are Not Validated, Allowing Server-Side Request Forgery",
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"cveId": "CVE-2026-72846",
"datePublished": "2026-08-20T21:57:35.568Z",
"dateReserved": "2026-08-10T15:14:51.467Z",
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}
}
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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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