picklescan before 0.0.34 fails to detect the operator.methodcaller built-in function when scanning pickle files for malicious code. Attackers can craft malicious pickle payloads using operator.methodcaller that evade detection and execute arbitrary code when loaded by pickle.load().

picklescan before 0.0.28 fails to detect malicious pickle files that use torch.utils.data.datapipes.utils.decoder.basichandlers in reduce methods, allowing attackers to bypass safety checks. Remote attackers can embed undetected malicious code in pickle files that executes during deserialization, enabling remote code execution.

picklescan before 0.0.28 fails to detect malicious torch.utils.bottleneck.main.runcprofile function calls in pickle files, allowing attackers to bypass safety checks. Remote attackers can embed undetected code in pickle files to achieve arbitrary code execution when victims load the files.

picklescan before 0.0.30 fails to detect malicious pickle files that invoke torch.utils.bottleneck.main.runautogradprof function. Attackers can embed undetected code in pickle files that executes during deserialization, enabling remote code execution.

picklescan before 0.0.33 fails to detect malicious pickle files using numpy.f2py.crackfortran.parameval function in reduce methods, allowing attackers to bypass security checks. Remote attackers can embed undetected code in pickle files that executes during deserialization, enabling arbitrary code execution in applications loading untrusted pickle data.

picklescan before 0.0.29 fails to detect malicious pickle files using code.InteractiveInterpreter.runcode in reduce methods. Attackers can craft pickle payloads that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().

picklescan before 0.0.29 fails to detect malicious idlelib.calltip.Calltip.fetchtip calls in pickle files, allowing remote code execution. Attackers can embed undetected payloads in pickle files that execute arbitrary code when loaded via pickle.load().

picklescan before 0.0.29 fails to detect malicious pickle files that exploit idlelib.debugobj.ObjectTreeItem.SetText function in reduce methods. Attackers can craft pickle files with embedded code that bypasses picklescan detection and executes arbitrary commands when pickle.load() is called.

picklescan before 1.0.4 fails to block at least seven Python standard library modules (including uuid, osxsupport, aixsupport, pyrepl.pager, and imaplib) exposing eight functions that provide direct arbitrary command execution. Attackers can craft malicious pickle files importing these unblocked modules to achieve remote code execution while bypassing picklescan's safety validation entirely.

picklescan before 0.0.29 fails to detect malicious pickle files using idlelib.autocomplete.AutoComplete.fetchcompletions in reduce methods. Attackers can embed undetected code in pickle files that executes arbitrary commands when loaded by victims.

picklescan before 0.0.28 fails to detect malicious torch.jit.unsupportedtensorops.execWrapper function calls embedded in pickle files. Attackers can craft malicious pickle files that bypass picklescan detection and execute arbitrary code when loaded via pickle.load().

picklescan before 0.0.29 fails to detect the profile.Profile.runctx function when analyzing pickle files, allowing attackers to embed undetected malicious code. Remote attackers can craft malicious pickle files using profile.Profile.runctx in the reduce method to achieve remote code execution when the pickle file is loaded.

picklescan before 0.0.33 fails to detect malicious pickle files that invoke numpy.f2py.crackfortran.myeval function through the reduce method. Attackers can craft malicious pickle files embedding arbitrary code that evades picklescan detection and executes remote code when loaded.

picklescan before 0.0.29 fails to detect malicious pickle files that exploit idlelib.autocomplete.AutoComplete.getentity function in reduce methods. Attackers can embed undetected code in pickle files that executes arbitrary commands when loaded by victims using pickle.load().

picklescan before 0.0.30 (affected versions 0.0.26 and earlier) fails to detect the ensurepip.runpip built-in function when scanning pickle files, allowing attackers to execute arbitrary code. Malicious pickle files embedding ensurepip.runpip calls in reduce methods bypass picklescan detection and achieve remote code execution upon pickle.load() invocation.

Picklescan before 0.0.33 fails to detect the numpy.f2py.crackfortran.evallength gadget in pickle reduce methods, allowing arbitrary code execution. Attackers can craft malicious pickle files that execute arbitrary Python code when loaded by victims who trust Picklescan's safety validation.

picklescan before 0.0.30 fails to detect cProfile.runctx function calls in pickle file reduce methods, allowing attackers to execute arbitrary code. Malicious pickle files bypass picklescan detection and execute remote code when loaded via pickle.load().

picklescan before 0.0.30 fails to detect malicious pickle files using idlelib.pyshell.ModifiedInterpreter.runcommand in reduce methods. Attackers can embed undetected code in pickle files that executes remote commands when loaded by victims.

picklescan before 0.0.25 fails to detect malicious pickle files that use timeit.timeit() in the reduce method, allowing remote code execution. Attackers can craft pickle files that import dangerous libraries like os and execute arbitrary system commands, which evade picklescan detection and execute when pickle.load() is called.

picklescan before 0.0.28 fails to detect malicious pickle files that invoke torch.utils.configmodule.loadconfig function within reduce methods. Attackers can craft pickle files embedding arbitrary code that evades detection but executes during pickle.load, enabling remote code execution in supply chain attacks.

picklescan before 1.0.1 contains an unsafe pickle deserialization vulnerability allowing unauthenticated attackers to create arbitrary zero-byte files via logging.FileHandler class instantiation. Attackers can exploit this by crafting malicious pickle payloads to bypass RCE blocklists and create lock files or other filesystem artifacts, potentially causing denial of service or application disruption.

picklescan before 1.0.3 contains a scanning bypass vulnerability in the scanpytorch function that allows attackers to embed malicious magic numbers via dynamic eval using the reduce trick. Attackers can craft malicious PyTorch payloads that evade picklescan detection while remaining executable, enabling arbitrary code execution when loaded with torch.load().

picklescan before 1.0.1 contains an unsafe deserialization vulnerability allowing unauthenticated users to execute arbitrary code by hiding eval calls nested under callable objects via getattr. Attackers can embed malicious code in pickle files that evades detection but executes when the pickle is loaded from untrusted sources.

picklescan before 0.0.35 contains an unsafe pickle deserialization vulnerability allowing unauthenticated attackers to read arbitrary server files by chaining io.FileIO and urllib.request.urlopen. Attackers can bypass RCE-focused blocklists to exfiltrate sensitive data like /etc/passwd to external servers.

picklescan before 1.0.4 contains an incomplete blocklist for the profile module that fails to block the module-level profile.run() function, allowing attackers to achieve arbitrary code execution via exec(). Attackers can craft malicious pickle files calling profile.run(statement) to execute arbitrary Python code while picklescan reports zero security issues.

picklescan before 1.0.4 fails to block pkgutil.resolvename, allowing attackers to bypass the entire blocklist by resolving any dangerous function through indirect REDUCE calls. Remote attackers can invoke any blocked function such as os.system, builtins.exec, or subprocess.call to achieve remote code execution.

picklescan before 0.0.27 contains a parsing logic error in the listglobals function when handling STACKGLOBAL opcodes, failing to track arguments in the correct range and allowing malicious pickle files to bypass detection. Attackers can craft pickle files with arguments at position zero to trigger unexpected exceptions and evade security scanning.

picklescan before 0.0.33 fails to block the ctypes module, allowing attackers to achieve remote code execution by invoking direct syscalls and accessing raw memory. Attackers can craft malicious pickle files using ctypes.WinDLL to load kernel32.dll and execute arbitrary commands, bypassing sandbox protections and gadget chain detection.

PickleScan before 0.0.33 fails to include the pty.spawn function in its unsafe globals list, allowing attackers to bypass security checks. Malicious actors can craft pickle payloads using pty.spawn to achieve arbitrary code execution when files are processed by PickleScan.

picklescan before 0.0.33 contains an incomplete deny-list that fails to block pydoc.locate and operator.methodcaller functions, allowing attackers to bypass security checks. Remote attackers can craft malicious pickle files using these unblocked functions to achieve arbitrary code execution when the pickle is deserialized.