EUVD-2026-68307Severity by source
CVSS:4.0/AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
Network vector with high complexity due to the prompt-injection prerequisite; low privileges required; no confidentiality or integrity impact; high availability impact from the unbounded loop.
Primary rating from Vendor (EEF).
CVSS VectorVendor: EEF
Lifecycle Timeline
3DescriptionCVE.org
Loop with Unreachable Exit Condition (Infinite Loop) vulnerability in ash-project ash_ai allows an attacker who can influence a model's output to hang the tool loop and drive unbounded, repeated model requests.
AshAi.ToolLoop classifies a model response of :tool_calls, then filters the calls through normalize_tool_calls/2 and unprocessed_tool_calls/2. Both can empty the list: a call missing a valid name, or one reusing a tool_call_id that already has a result in history, is dropped. With an empty list the loop appended nothing and recursed with a byte-identical message list, so the conversation never advanced and the same request was re-sent every iteration. Under the supported max_iterations: :infinity this never terminated; otherwise it exhausted the full budget. Prompt-injected content can make the model re-emit a spent tool_call_id. The fix treats an empty post-filter list as terminal.
This issue affects ash_ai: from 0.6.0 before 1.0.0.
AnalysisAI
Infinite-loop denial-of-service in ash_ai's ToolLoop component (versions 0.6.0 through <1.0.0) allows an attacker who can influence LLM model output - most practically via prompt injection - to hang the agent loop indefinitely and drive unbounded, repeated model API requests. When the LLM returns tool_call_ids that are either invalid or already present in the session history, the post-filter call list empties, yet the loop recurses with a byte-identical message state, making no forward progress and wasting unbounded API budget. …
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Attack ChainAIDerived
Hypothetical attack flow derived from CVE metadata
Vulnerability AssessmentAI
| Exploitation | The attacker must be able to supply content that reaches the LLM model's input context - typically through user-facing text fields in an ash_ai-backed application that passes user content into the prompt. … Additional conditions and limiting factors are described in the full assessment. |
| Risk Assessment | The CVSS 4.0 score of 6.0 (AV:N/AC:L/AT:P/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N) reflects a moderate real-world priority. … Full risk analysis with EPSS, KEV, and SSVC signal comparison available after sign-in. |
| Exploit Scenario | Full exploit scenario with step-by-step reproduction available after sign-in. |
| Remediation | Upgrade ash_ai to version 1.0.0 or later - the first release outside the affected range per the advisory's 'from 0.6.0 before 1.0.0' scope - which incorporates the fix from commit 53325fdab90afab628c6a53232ef2a9001580bd9 (https://github.com/ash-project/ash_ai/commit/53325fdab90afab628c6a53232ef2a9001580bd9). … Detailed patch versions, workarounds, and compensating controls in full report. |
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External POC / Exploit Code
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