CVE-2024-52803

criticalPriorität · verfolgen · 40EPSS 0.023 · 83. PerzentilEUUS
grimoire priorityP2 · Scheduled
Exploitable?
—
no known exploitation
Likely / severe?
2.32% (83rd) EPSS
CVSS 9.8 · critical
Is it mine?
3 products
Prüfe deine Angriffsfläche
Who says so?
4 sources
cnnvd · enisa_euvd · osv · nvd

EPSS · bewertet 2026-10-27

LLama Factory enables fine-tuning of large language models. A critical remote OS command injection vulnerability has been identified in the LLama Factory training process. This vulnerability arises from improper handling of user input, allowing malicious actors to execute arbitrary OS commands on the host system. The issue is caused by insecure usage of the `Popen` function with `shell=True`, coupled with unsanitized user input. Immediate remediation is required to mitigate the risk. This vulnerability is fixed in 0.9.1.

01

cvss

Technischer Schweregrad, 0–10. Eine Zeile je Quelle.

9.8
010

Basiswert 0–10 · höher = schwerwiegender · Vektor überfahren zum Auflösen⚠ Quellen uneinig · high–critical · 7.5–9.8

v3.19.8criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:Hprimary · NVD / NIST USAusnutzbarkeit 3.9 · Auswirkung 5.9
v3.17.5highCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:Nsecondary · ENISA EU
v3.17.5highCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:Nsecondary · security-advisories@github.comAusnutzbarkeit 3.9 · Auswirkung 3.6
v3.17.5highCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:Nsecondary · OSV
v3.19criticalCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H/E:Usecondary · CVSS-BT (t0sche)
02

SSVC

Eine Handlungsentscheidung — aus Ausnutzung und Auswirkung.

Exploitation: poc · Automatable: yes · Technical Impact: partialcoordinatorcisa_ssvcUS
03

schwächen

Die CWE-Schwächeklassen, zu denen dies gehört.

04

betroffene Produkte (3)

Betroffene Produkte und Versionsbereiche.

05

Advisories (2)

Hersteller- und Ökosystem-Meldungen dazu.

  • GHSA-hj3w-wrh4-44vpLLama Factory Remote OS Command Injection Vulnerability2024-11-21ghsa · osvUS

    ## Summary A critical remote OS command injection vulnerability has been identified in the Llama Factory training process. This vulnerability arises from improper handling of user input, allowing malicious actors to execute arbitrary OS commands on the host system. The issue is caused by insecure usage of the `Popen` function with `shell=True`, coupled with unsanitized user input. Immediate remediation is required to mitigate the risk. ## Affected Version Llama Factory versions **<=0.9.0** are affected by this vulnerability. ## Impact Exploitation of this vulnerability allows attackers to: 1. Execute arbitrary OS commands on the server. 2. Potentially compromise sensitive data or escalate privileges. 3. Deploy malware or create persistent backdoors in the system. This significantly increases the risk of data breaches and operational disruption. ## Root Cause The vulnerability originates from the training process where the `output_dir` value, obtained from the user input, is injected into the popen function without any sanitization. Furthermore, popen is invoked in a unsafe way by enabling the interact shell (`shell=True`), leading to remote OS command injection vulnerability. Vulnerable snippet: ```python # https://github.com/hiyouga/LLaMA-Factory/blob/bd639a137e6f46e1a0005cc91572f5f1ec894f74/src/llamafactory/webui/runner.py#L304-L323 def _launch(self, data: Dict["Component", Any], do_train: bool) -> Generator[Dict["Component", Any], None, None]: ... args = self._parse_train_args(data) if do_train else self._parse_eval_args(data) ... self.trainer = Popen(f"llamafactory-cli train {save_cmd(args)}", env=env, shell=True) yield from self.monitor() ``` ## Proof of Concept (PoC) ### Steps to Reproduce - Deploy llama factory - Execute the exploitation script from: https://gist.github.com/superboy-zjc/f2d2b93ae511c445ba97e144b70e534d ```bash python3 llama-factory-rce.py --url http://127.0.0.1:7861 --cmd "curl XXX" --trace ``` ![llama-factory-rce](https://api.2h0ng.wiki:443/noteimages/2024/11/21/00-33-37-5347128a141f8765e7d218c89d94162a.gif) Bad actors are able to execute any OS command as they want. ## Remediation Recommendations **Avoid using `shell=True` in `Popen`.** - Instead, pass the command and its arguments as a list. This prevents user inputs from being executed as part of a shell command. ```python cmd = [ "llamafactory-cli", "train", *save_cmd(args).split(), ] self.trainer = Popen(cmd, env=env) ```

  • PYSEC-2026-1575LLama Factory Remote OS Command Injection Vulnerability2026-07-07vendor · osvUS

    ## Summary A critical remote OS command injection vulnerability has been identified in the Llama Factory training process. This vulnerability arises from improper handling of user input, allowing malicious actors to execute arbitrary OS commands on the host system. The issue is caused by insecure usage of the `Popen` function with `shell=True`, coupled with unsanitized user input. Immediate remediation is required to mitigate the risk. ## Affected Version Llama Factory versions **<=0.9.0** are affected by this vulnerability. ## Impact Exploitation of this vulnerability allows attackers to: 1. Execute arbitrary OS commands on the server. 2. Potentially compromise sensitive data or escalate privileges. 3. Deploy malware or create persistent backdoors in the system. This significantly increases the risk of data breaches and operational disruption. ## Root Cause The vulnerability originates from the training process where the `output_dir` value, obtained from the user input, is injected into the popen function without any sanitization. Furthermore, popen is invoked in a unsafe way by enabling the interact shell (`shell=True`), leading to remote OS command injection vulnerability. Vulnerable snippet: ```python # https://github.com/hiyouga/LLaMA-Factory/blob/bd639a137e6f46e1a0005cc91572f5f1ec894f74/src/llamafactory/webui/runner.py#L304-L323 def _launch(self, data: Dict["Component", Any], do_train: bool) -> Generator[Dict["Component", Any], None, None]: ... args = self._parse_train_args(data) if do_train else self._parse_eval_args(data) ... self.trainer = Popen(f"llamafactory-cli train {save_cmd(args)}", env=env, shell=True) yield from self.monitor() ``` ## Proof of Concept (PoC) ### Steps to Reproduce - Deploy llama factory - Execute the exploitation script from: https://gist.github.com/superboy-zjc/f2d2b93ae511c445ba97e144b70e534d ```bash python3 llama-factory-rce.py --url http://127.0.0.1:7861 --cmd "curl XXX" --trace ``` ![llama-factory-rce](https://api.2h0ng.wiki:443/noteimages/2024/11/21/00-33-37-5347128a141f8765e7d218c89d94162a.gif) Bad actors are able to execute any OS command as they want. ## Remediation Recommendations **Avoid using `shell=True` in `Popen`.** - Instead, pass the command and its arguments as a list. This prevents user inputs from being executed as part of a shell command. ```python cmd = [ "llamafactory-cli", "train", *save_cmd(args).split(), ] self.trainer = Popen(cmd, env=env) ```

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veröffentlicht 2024-11-21geändert 2026-06-17
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Referenzen (11)

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