Sandbox escape via injected preload commands
Published Mar 20, 2025 · Updated Oct 15, 2025
Code injection in LangGenius Dify 0.9.1 and earlier allows remote authenticated users to execute Python as root in DifySandbox. An internal SSRF path forwards the attacker-controlled preload field to the sandbox, where it is interpreted as commands without effective isolation. Access to code-execution workflows is required; exploitation escapes the code sandbox and can delete its service, while host escape requires a separate flaw.
Summary
What happened
Code injection in LangGenius Dify 0.9.1 and earlier allows remote authenticated users to execute Python as root in DifySandbox. An internal SSRF path forwards the attacker-controlled preload field to the sandbox, where it is interpreted as commands without effective isolation. Access to code-execution workflows is required; exploitation escapes the code sandbox and can delete its service, while host escape requires a separate flaw.
The record
- CVE
- CVE-2024-10252
- Published
- Mar 20, 2025
- Updated
- Oct 15, 2025
- Vendor
- LangGenius
- Product
- Dify
- Classifications
- CWE-94, T1059.006
- Attack vector
- network
- Privileges
- authenticated
Timeline
How it unfolded
- Mar 20, 2025CVE publishedPublication date reported by the CVE source.
- Oct 15, 2025Record updatedLatest update available in the CVE record.
Exploitability
Present is not the same as exploitable
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Is a vulnerable build present?
Compare these published version ranges with your installed build and any vendor patches.
- Affected versionversion=unspecified <0.2.10
What conditions does exploitation require?
What is affected?
Published CVSS scores
CVSS describes severity. EPSS estimates exploitation probability.
Attacks
What attackers are doing with it
Daily unique IPs observed by Shadowserver honeypots for known exploited vulnerabilities (KEVs). Missing observations do not establish an absence of attacks.
Weakness, pattern, technique
Public exploit references
- DifySandbox preload-field sandbox-escape demonstrationfunctional · demonstrated
Labels summarize the accepted research assessment. They do not indicate a test against your environment.
Technologies
Your stack
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Your stack
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