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Vulnerability Database/CVE-2026-34430

CVE-2026-34430: Deerflow Sandbox Escape RCE Vulnerability

CVE-2026-34430 is a sandbox escape vulnerability in ByteDance DeerFlow that enables remote code execution by bypassing regex validation. This article covers the technical details, affected versions, and mitigation strategies.

Updated:

CVE-2026-34430 Overview

CVE-2026-34430 is a sandbox escape vulnerability in ByteDance DeerFlow, an AI-powered research and automation framework. Versions prior to commit 92c7a20 contain incomplete shell semantics modeling in the bash tool handler. Attackers can bypass regex-based validation by leveraging shell features such as directory changes and relative paths. Successful exploitation allows reading and modifying files outside the sandbox boundary and achieving arbitrary command execution on the host through subprocess invocation with shell interpretation enabled. The flaw is tracked under [CWE-184] (incomplete list of disallowed inputs).

Critical Impact

Attackers can escape the DeerFlow local sandbox and execute arbitrary commands on the host system, compromising confidentiality, integrity, and availability of host files and processes.

Affected Products

  • ByteDance DeerFlow versions prior to commit 92c7a20cb74addc3038d2131da78f2e239ef542e
  • DeerFlow LocalSandboxProvider bash tool handler
  • All deployments using regex-based validation for bash command execution

Discovery Timeline

  • 2026-04-01 - CVE-2026-34430 published to NVD
  • 2026-05-12 - Last updated in NVD database

Technical Details for CVE-2026-34430

Vulnerability Analysis

DeerFlow exposes a bash tool that lets agentic workflows execute shell commands inside a LocalSandboxProvider. The provider relies on regular expressions to allow or deny commands and path access. Regex-based validation cannot fully model shell semantics, leaving gaps that attackers exploit to reach files and binaries outside the sandbox boundary.

The handler invokes subprocesses with shell interpretation enabled. Once a malicious command passes the regex filter, the shell expands metacharacters, resolves relative paths, and executes the payload with the privileges of the DeerFlow process. The result is host-level arbitrary command execution from within what is intended to be a restricted environment.

Root Cause

The root cause is incomplete enumeration of disallowed inputs [CWE-184]. The validator inspects command strings with patterns that assume static, absolute paths and a fixed command vocabulary. It does not account for cd directory changes, relative path traversal such as ../, command chaining, or shell expansion that alters the effective working directory and target file after the check completes.

Attack Vector

An attacker with the ability to submit prompts or tool calls to a DeerFlow agent crafts bash input that satisfies the regex allowlist while changing directories or using relative paths to reference resources outside the sandbox. Because the subprocess executes with shell=True semantics, the shell interprets these constructs at runtime, after validation has passed, and runs arbitrary commands on the host.

The vulnerability requires network access to the DeerFlow interface and some user interaction with the agent. No authentication is required. See the VulnCheck Security Advisory for additional technical detail.

Detection Methods for CVE-2026-34430

Indicators of Compromise

  • Bash tool invocations containing cd followed by relative path traversal sequences such as ../
  • DeerFlow subprocess executions referencing files or directories outside the configured sandbox root
  • Unexpected child processes spawned by the DeerFlow runtime, including shells, package managers, or network utilities
  • Outbound network connections originating from the DeerFlow process to unfamiliar hosts

Detection Strategies

  • Audit DeerFlow logs for bash tool inputs that combine directory changes with file operations
  • Compare the DeerFlow git commit hash in production against 92c7a20cb74addc3038d2131da78f2e239ef542e and flag earlier versions
  • Instrument the host with process ancestry monitoring to capture shell descendants of the DeerFlow service
  • Apply file integrity monitoring on directories adjacent to the sandbox root to catch boundary escapes

Monitoring Recommendations

  • Centralize DeerFlow application logs and host process telemetry in a SIEM for correlation
  • Alert on any execution of bash -c or sh -c originating from the DeerFlow runtime user
  • Track read and write access to sensitive files such as /etc/passwd, SSH keys, and cloud credential files by the DeerFlow process

How to Mitigate CVE-2026-34430

Immediate Actions Required

  • Upgrade DeerFlow to a build that includes commit 92c7a20 or later
  • Restrict network exposure of DeerFlow instances to trusted users and internal networks only
  • Run the DeerFlow service under a dedicated low-privilege account with no access to sensitive host paths
  • Review historical bash tool invocations for signs of prior exploitation attempts

Patch Information

ByteDance addressed the issue in commit 92c7a20cb74addc3038d2131da78f2e239ef542e, merged via pull request 1547. The fix replaces the regex-based command validation with stricter shell semantics handling in the LocalSandboxProvider bash tool path. Operators should rebuild or redeploy DeerFlow from a revision that includes this commit.

Workarounds

  • Disable the bash tool in the DeerFlow agent configuration until the patch is applied
  • Execute DeerFlow inside a container or virtual machine with read-only mounts and no host network access
  • Apply mandatory access controls such as AppArmor or SELinux to confine the DeerFlow process to the intended sandbox directory
  • Use seccomp filters to block execve of unauthorized binaries from the DeerFlow runtime
bash
# Configuration example: pin DeerFlow to the patched commit
git -C /opt/deer-flow fetch origin
git -C /opt/deer-flow checkout 92c7a20cb74addc3038d2131da78f2e239ef542e
# Verify the commit is present
git -C /opt/deer-flow log -1 --format=%H

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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