Answer in brief
CVE-2026-60087 records a Medium severity (CVSS 6.1) vulnerability in PraisonAI: Human-in-the-loop tool approval is cached by tool name and silently reused for all subsequent calls with arbitrary arguments. The current sources do not mark it as known exploited. The current feed maps praisonaiagents (pip). Check affected ranges and fixed versions before updating.
Analysis pending evidence review
HOL Guard separates source facts from reviewed analysis. See the methodology.
CVSS is 6.1. The current sources do not mark it as known exploited. Treat this as a source-backed prioritization signal, not a statement about your environment.
Analysis status
Analysis pending evidence review
Factual feed record only; HOL analysis is not approved for indexing. Read the methodology.
The current feed maps praisonaiagents (pip). Check affected ranges and fixed versions before updating.
| Package | Affected range | Fixed version |
|---|---|---|
| praisonaiagentspip | <=1.6.77 | 1.6.78 |
Published upstream
Jul 15, 2026
Evidence: source:ghsa:source_dates:source-dates:recordSource modified
Oct 8, 2026
Evidence: source:ghsa:source_dates:source-dates:recordFirst seen by HOL
Jul 15, 2026
## Summary PraisonAI gates dangerous tools (file writes, deletes, shell/code execution) behind an interactive approval prompt. The first approval of a tool is cached for the remainder of the run and silently reused for all later invocations of that tool with arbitrary, unreviewed arguments. ## Root cause `ApprovalRegistry.is_already_approved` (`src/praisonai-agents/praisonaiagents/approval/registry.py`, around line 181) returns `True` whenever the tool name is present in a per-run context set. The cache is keyed on tool name only — arguments are not part of the key. `approve_sync` / `approve_async` (around lines 224-226 / 278-279) short-circuit on that cache before the approval backend is consulted. `clear_approved` (around lines 186-187) is the only routine that clears the cache, but it is never invoked in the shipped library (only in tests). The cache persists for the entire agent run and is inherited by child tasks via `contextvars`. Critical-tier tools (`execute_command`, `execute_code`) are exempt from the cache. But high-risk tools like `write_file` are not. ## Proof of concept ```python from praisonaiagents.approval.registry import ApprovalRegistry from praisonaiagents.approval.protocols import ApprovalDecision, ApprovalRequest class CountingBackend: def __init__(self): self.prompts = [] def request_approval_sync(self, request): self.prompts.append((request.tool_name, dict(request.arguments))) return ApprovalDecision(approved=True, reason="human approved") backend = CountingBackend() reg = ApprovalRegistry() reg.set_backend(backend) reg.add_requirement("write_file", "high") d1 = reg.approve_sync("agent", "write_file", {"path": "/tmp/safe.txt", "content": "hi"}) # Human prompted — approves a benign write d2 = reg.approve_sync("agent", "write_file", {"path": "/etc/crontab", "content": "* * * * * root evil"}) # NO prompt — auto-approved from cache assert len(backend.prompts) == 1 assert d2.reason == "Already approved in context" ``` Negative control: `execute_command` (critical) re-prompts on every call — 2 prompts for 2 calls. ## Impact A `write_file` approval for a benign path authorizes every later `write_file` call in the session with arbitrary arguments. A model steered by malicious input can write to sensitive locations with no further human prompt. ## Suggested fix - Include arguments in the approval cache key, or re-prompt on argument change. - Expire the cache per-call or per-turn. - Do not inherit the cache into child tasks.
Quoted source text, attributed separately from HOL analysis.