The MultiAgentLedger and MultiAgentMonitor components in the provided code exhibit vulnerabilities that can lead to context leakage and arbitrary file operations. Specifically:
MultiAgentLedger uses a dictionary to store ledgers by agent ID without enforcing uniqueness. This allows agents with the same ID to share ledger instances, leading to potential leakage of sensitive context data.MultiAgentMonitor constructs file paths by concatenating the base_path and agent ID without sanitization. This allows an attacker to escape the intended directory using path traversal sequences (e.g., ../), potentially leading to arbitrary file read/write.examples/context/12_multi_agent_context.py:68MultiAgentLedger class uses a dictionary (self.ledgers) to store ledger instances keyed by agent ID. The get_agent_ledger method creates a new ledger only if the agent ID is not present. If two agents are registered with the same ID, they will share the same ledger instance. This violates the isolation policy and can lead to leakage of sensitive context data (system prompts, conversation history) between agents.examples/context/12_multi_agent_context.py:106MultiAgentMonitor class constructs file paths for agent monitors by directly concatenating the base_path and agent ID. Since the agent ID is not sanitized, an attacker can provide an ID containing path traversal sequences (e.g., ../../malicious). This can result in files being created or read outside the intended directory (base_path).../../etc/passwd) to write or read arbitrary files on the system, potentially leading to information disclosure or file corruption.multi_ledger = MultiAgentLedger()
# Victim agent (user1) registers and tracks sensitive data
victim_ledger = multi_ledger.get_agent_ledger('user1_agent')
victim_ledger.track_system_prompt("Sensitive system prompt")
victim_ledger.track_history([{"role": "user", "content": "Secret data"}])
# Attacker registers with the same ID
attacker_ledger = multi_ledger.get_agent_ledger('user1_agent')
# Attacker now has access to victim's ledger
print(attacker_ledger.get_ledger().system_prompt) # Outputs: "Sensitive system prompt"
print(attacker_ledger.get_ledger().history) # Outputs: [{'role': 'user', 'content': 'Secret data'}]
with tempfile.TemporaryDirectory() as tmpdir:
multi_monitor = MultiAgentMonitor(base_path=tmpdir)
# Create agent with malicious ID
malicious_id = '../../malicious'
monitor = multi_monitor.get_agent_monitor(malicious_id)
# The monitor file is created outside the intended base_path
# Example: if tmpdir is '/tmp/safe_dir', the actual path might be '/tmp/malicious'
print(monitor.path) # Outputs: '/tmp/malicious' (or equivalent)
MultiAgentLedger to throw an exception if an existing agent ID is reused (unless explicitly allowed).os.path.join and os.path.realpath to resolve paths, then check that the resolved path starts with the intended base directory.Example fix for MultiAgentMonitor:
import os
def get_agent_monitor(self, agent_id: str):
# Sanitize agent_id to remove path traversal
safe_id = os.path.basename(agent_id.replace('../', '').replace('..\\', ''))
# Alternatively, use a strict allow-list of characters
# Construct path and ensure it's within base_path
agent_path = os.path.join(self.base_path, safe_id)
real_path = os.path.realpath(agent_path)
real_base = os.path.realpath(self.base_path)
if not real_path.startswith(real_base):
raise ValueError(f"Invalid agent ID: {agent_id}")
...
Additionally, consider using a dedicated function for sanitizing filenames.
| Software | From | Fixed in |
|---|---|---|
praisonaiagents
|
- | 1.5.115 |
A security vulnerability is a weakness in software, hardware, or configuration that can be exploited to compromise confidentiality, integrity, or availability. Many vulnerabilities are tracked as CVEs (Common Vulnerabilities and Exposures), which provide a standardized identifier so teams can coordinate patching, mitigation, and risk assessment across tools and vendors.
CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.
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Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.
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