CVE-2026-73657 (GCVE-0-2026-73657)
Vulnerability from cvelistv5 – Published: 2026-08-13 21:15 – Updated: 2026-08-17 17:18
VLAI
EPSS
VEX
Title
Trigger.dev: Cross-tenant payload poisoning via packet write + replay
Summary
Trigger.dev is a platform for building and deploying fully managed AI agents and workflows. From 4.4.2 until 4.5.0-rc.4, `POST /api/v1/runs/:runParam/replay` in apps/webapp/app/routes/api.v1.runs.$runParam.replay.ts uses `prisma.taskRun.findUnique({ where: { friendlyId: runParam } })` without a runtimeEnvironmentId filter, then ReplayTaskRunService in apps/webapp/app/v3/services/replayTaskRun.server.ts replays the selected run in the victim environment. Any valid environment API key can therefore replay another tenant's run by friendlyId, consuming victim resources and repeating side effects; when `payloadType: "application/store"` is used, overrideExistingPayloadPacket() calls conditionallyImportPacket() on existingTaskRun.payload without an integrity check, so payload bytes overwritten through a separate object-store path-traversal vulnerability become attacker-controlled input to the victim task. This issue is fixed in version 4.5.0-rc.4.
Severity
4.2 (Medium)
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-08-17 17:14 UTC
CWE
Assigner
References
4 references
| URL | Tags |
|---|---|
| https://github.com/triggerdotdev/trigger.dev/secu… | x_refsource_CONFIRM |
| https://github.com/triggerdotdev/trigger.dev/pull/3756 | x_refsource_MISC |
| https://github.com/triggerdotdev/trigger.dev/comm… | x_refsource_MISC |
| https://github.com/triggerdotdev/trigger.dev/rele… | x_refsource_MISC |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| triggerdotdev | trigger.dev |
Affected:
>= 4.4.2, < 4.5.0-rc.4
|
guessed |
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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.
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.
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