PraisonAI's Dynamic Context module provides filesystem-backed history and terminal-log storage. The SDK reference describes the module as providing:
The module also exports agent-callable tool factories:
create_history_tools() returns history_search, history_tail, and
history_get.create_terminal_tools() returns terminal_tail, terminal_grep, and
terminal_commands.Those tools accept run_id and agent_id arguments from the tool caller. The
underlying stores join those values into filesystem paths without rejecting
absolute paths or .. traversal:
history_dir = self.base_dir / run_id / "history"
return history_dir / f"{agent_id}.jsonl"
terminal_dir = self.base_dir / run_id / "terminal"
return terminal_dir / f"{agent_id}.log"
Because run_id can be an absolute path and agent_id can contain traversal,
a lower-trust prompt/user that can call these tools can read .jsonl and
.log files outside the configured Dynamic Context base directory.
MervinPraison/PraisonAIpippraisonaisrc/praisonai/praisonai/context/history_store.pysrc/praisonai/praisonai/context/terminal_logger.py4.6.58origin/main validated:
1ad58ca02975ff1398efeda694ea2ab78f20cf3eorigin/main tag validated: v4.6.58Suggested affected range:
pip:praisonai >= 3.8.1, <= 4.6.58
Representative local sweep:
3.8.1: vulnerable4.0.0: vulnerable4.5.113: vulnerable4.6.33: vulnerable4.6.34: vulnerable4.6.40: vulnerable4.6.50: vulnerable4.6.58: vulnerableHistoryStore._get_history_path() and TerminalLogger._get_log_path() treat
logical identifiers as path segments, but never validate that the resolved path
stays under base_dir.
History path construction:
def _get_history_path(self, run_id: str, agent_id: str) -> Path:
history_dir = self.base_dir / run_id / "history"
history_dir.mkdir(parents=True, exist_ok=True)
return history_dir / f"{agent_id}.jsonl"
Terminal path construction:
def _get_log_path(self, run_id: str, agent_id: str) -> Path:
terminal_dir = self.base_dir / run_id / "terminal"
terminal_dir.mkdir(parents=True, exist_ok=True)
return terminal_dir / f"{agent_id}.log"
The agent tools pass caller-controlled run_id and agent_id directly into
these helpers:
def history_tail(agent_id: str = "default", run_id: str = "default", count: int = 10) -> str:
messages = history_store.get_last_messages(agent_id=agent_id, run_id=run_id, count=count)
def terminal_tail(agent_id: str = "default", run_id: str = "default", lines: int = 50) -> str:
return term_logger.tail_session(agent_id=agent_id, run_id=run_id, lines=lines)
There is no check equivalent to:
resolved = candidate.resolve()
base = self.base_dir.resolve()
resolved.relative_to(base)
There is also no identifier allowlist preventing /, \, or .. in
run_id or agent_id.
Run against the latest PyPI package:
uv run --with 'praisonai==4.6.58' \
python poc/pov_prai_cand_027_history_terminal_tools_path_traversal.py --json
The PoV:
secret.jsonl and
secret.log.history_tail() and history_get() with
run_id=<outside-dir> and agent_id=../secret.terminal_tail() and terminal_grep() with the same traversal.Observed output summary from evidence/pov-pypi-4.6.58.json:
{
"package": "praisonai",
"package_version": "4.6.58",
"controls": {
"valid_history_read_works": true,
"valid_terminal_read_works": true,
"outside_history_file_outside_base_dir": true,
"outside_terminal_file_outside_base_dir": true,
"traversal_history_path_resolves_to_outside_file": true,
"traversal_terminal_path_resolves_to_outside_file": true
},
"outside_history_tail": "Last 1 messages:\\n\\n[system]: PRAI-CAND-027-HISTORY-SECRET",
"outside_terminal_tail": "PRAI-CAND-027-TERMINAL-SECRET\\nsecond line\\n",
"outside_terminal_grep": "Found 1 matches:\\n\\n--- Line 1 ---\\n> PRAI-CAND-027-TERMINAL-SECRET\\n second line",
"vulnerable": true
}
The PoV is local-only. It does not start a server, contact a third-party target, or use real credentials.
This report does not claim that history and terminal helpers should be unable
to read legitimate history or terminal logs. The issue is narrower: logical
run_id and agent_id values can escape the configured Dynamic Context base
directory.
The controls show the intended boundary:
.jsonl and .log files are not under the configured
base_dir; andThe official context reference describes history persistence and terminal logging as filesystem-backed Dynamic Context features. The context security documentation also treats absolute paths, path traversal, and sensitive files as privacy/security risks. Reading files outside the configured context store conflicts with that documented boundary.
If a PraisonAI application exposes these Dynamic Context tools to untrusted or lower-trust prompts, the lower-trust caller can read files outside the configured context storage when the target file can be reached with the tool-imposed suffix:
history_* tools can disclose reachable .jsonl files;terminal_* tools can disclose reachable .log files; andThis can expose conversation history, prompts, terminal output, command logs, tokens, API keys, cloud credentials, operational data, or other secrets stored in JSONL/log files readable by the PraisonAI process.
The impact is confidentiality-only in the tested surface. Integrity and availability are not claimed for this report.
Suggested severity: High.
Rationale:
AV: applies when an application exposes an agent with these tools over a
network chat/API surface.AC: the traversal needs only chosen run_id and agent_id values.PR: an unauthenticated or public-facing agent endpoint can be exploited
without an account. Deployments that require authenticated chat/API access
may score this as PR:L.UI: the attacker directly supplies the prompt/tool argument to the
exposed agent surface.C: conversation history and terminal logs can contain secrets and private
operational data.I:N/A: this report demonstrates read-only disclosure.Treat run_id and agent_id as logical identifiers, not path components.
Recommended fixes:
run_id and agent_id..resolve(), and reject any path that is not
under self.base_dir.resolve().run_id, ../ in run_id, and ../ in
agent_id for history and terminal tool factories.Minimal containment shape:
def _safe_child(self, *parts: str) -> Path:
candidate = self.base_dir.joinpath(*parts).resolve()
base = self.base_dir.resolve()
try:
candidate.relative_to(base)
except ValueError as exc:
raise PermissionError("Context path is outside configured base_dir") from exc
return candidate
Pair this with an identifier allowlist, because run_id and agent_id should
not need filesystem syntax.
| Software | From | Fixed in |
|---|---|---|
praisonai
|
3.8.1 | 4.6.59 |
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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Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.
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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