CVE-2026-91987: Allocation of Resources Without Limits or Throttling in dep0we atomic-agents-stack
CVE-2026-91987 is a vulnerability in dep0we's atomic-agents-stack before version 1.1.0. It involves a bypass of cost-guardrails in the _estimate_batch_cost function, which returns zero cost for unknown model identifiers not listed in the pricing table. This allows attackers to configure deployments with unknown models to bypass daily cost caps and exceed budget limits during parallel batch operations.
AI Analysis
Technical Summary
The vulnerability in atomic-agents-stack versions prior to 1.1.0 arises from the _estimate_batch_cost function returning zero cost for unknown models that are not present in the pricing table. This flaw enables attackers with limited privileges to deploy unknown model identifiers in batch operations, effectively bypassing the daily cost caps and exceeding budget limits without triggering cost controls. The issue is a resource allocation without limits or throttling, leading to potential financial impact due to uncontrolled resource consumption.
Potential Impact
Attackers can exploit this vulnerability to bypass daily cost caps and exceed budget limits by deploying unknown model identifiers in parallel batch operations. This can result in unexpected and potentially significant resource usage and associated costs. There is no indication of direct compromise of confidentiality, integrity, or availability of the system beyond the financial/resource impact.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should avoid deploying unknown model identifiers not listed in the pricing table to prevent bypassing cost controls.
CVE-2026-91987: Allocation of Resources Without Limits or Throttling in dep0we atomic-agents-stack
Description
CVE-2026-91987 is a vulnerability in dep0we's atomic-agents-stack before version 1.1.0. It involves a bypass of cost-guardrails in the _estimate_batch_cost function, which returns zero cost for unknown model identifiers not listed in the pricing table. This allows attackers to configure deployments with unknown models to bypass daily cost caps and exceed budget limits during parallel batch operations.
CVSS v4.0
Score 7.1high
Affected software
dep0we
atomic-agents-stack
pkg:github/dep0we/atomic-agents-stackRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in atomic-agents-stack versions prior to 1.1.0 arises from the _estimate_batch_cost function returning zero cost for unknown models that are not present in the pricing table. This flaw enables attackers with limited privileges to deploy unknown model identifiers in batch operations, effectively bypassing the daily cost caps and exceeding budget limits without triggering cost controls. The issue is a resource allocation without limits or throttling, leading to potential financial impact due to uncontrolled resource consumption.
Potential Impact
Attackers can exploit this vulnerability to bypass daily cost caps and exceed budget limits by deploying unknown model identifiers in parallel batch operations. This can result in unexpected and potentially significant resource usage and associated costs. There is no indication of direct compromise of confidentiality, integrity, or availability of the system beyond the financial/resource impact.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, users should avoid deploying unknown model identifiers not listed in the pricing table to prevent bypassing cost controls.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-09-15T11:10:41.354Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 6aa9651e55bf5e2cf502eb33
Added to database: 09/15/2026, 15:32:46 UTC
Last enriched: 09/15/2026, 15:46:45 UTC
Last updated: 09/15/2026, 15:56:03 UTC
Views: 4
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