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GitHub Copilot CLI Dangerous Shell Expansion Patterns Enable Arbitrary Code Execution

High severity GitHub Reviewed Published Mar 6, 2026 in github/copilot-cli • Updated Mar 13, 2026

Package

npm @github/copilot (npm)

Affected versions

<= 0.0.422

Patched versions

0.0.423

Description

Summary

A security vulnerability has been identified in GitHub Copilot CLI's shell tool that could allow arbitrary code execution through crafted bash parameter expansion patterns. An attacker who can influence the commands executed by the agent (e.g., via prompt injection through repository files, MCP server responses, or user instructions) can exploit bash parameter transformation operators to execute hidden commands, bypassing the safety assessment that classifies commands as "read-only."

Details

The vulnerability stems from how the CLI's shell safety assessment evaluates commands before execution. The safety layer parses and classifies shell commands as either read-only (safe) or write-capable (requires user approval). However, several bash parameter expansion features can embed executable code within arguments to otherwise read-only commands, causing them to appear safe while actually performing arbitrary operations.

The specific dangerous patterns are:

  1. ${var@P} — Prompt expansion: The @P parameter transformation operator evaluates its value as a prompt string, which interprets embedded command substitutions. This allows hidden command execution inside what appears to be a simple variable reference.

  2. ${var=value} / ${var:=value} — Assignment side-effects: These forms assign values to variables as a side-effect of expansion. When chained with @P, an attacker can progressively build up a command substitution string across multiple expansions.

  3. ${!var} — Indirect expansion: Dereferences an arbitrary variable name, which can be combined with other patterns to construct and execute commands dynamically.

  4. Nested $(cmd) or <(cmd) inside ${...} expansions: Command substitution or process substitution embedded within parameter expansion default values (e.g., ${HOME:-$(whoami)}) executes the nested command.

Proof of Concept

The following command appears to run a harmless echo, but actually executes touch /tmp/pwned through chained parameter expansion:

echo ${a="$"}${b="$a(touch /tmp/pwned)"}${b@P}

How it works:

  • ${a="$"} assigns the literal $ character to variable a
  • ${b="$a(touch /tmp/pwned)"} expands $a to $, constructing the string $(touch /tmp/pwned) and assigning it to b
  • ${b@P} applies prompt expansion to b, which evaluates the embedded $(touch /tmp/pwned) command substitution

Prior to the fix, the safety assessment would classify echo as a read-only command and allow execution without user confirmation — even in modes that normally require approval for write operations.

Impact

An attacker who can influence command text sent to the shell tool — for example, through:

  • Prompt injection via malicious repository content (README files, code comments, issue bodies)
  • Compromised or malicious MCP server responses
  • Crafted user instructions containing obfuscated commands

— could achieve arbitrary code execution on the user's workstation. This is possible even in permission modes that require user approval for write operations, since the commands can appear to be using only read-only utilities to ultimately trigger write operations.

Successful exploitation could lead to data exfiltration, file modification, or further system compromise.

Affected Versions

  • GitHub Copilot CLI versions prior to 0.0.423

Remediation and Mitigation

Fix

The fix adds three layers of defense:

  1. Parse-time detection: The shell safety assessment analyzes ${...} expansion nodes within bash commands, detecting dangerous operators (@P, =, :=, !) and nested command/process substitutions. Commands containing these patterns are downgraded from read-only to write-capable, ensuring they require user approval.

  2. Unconditional blocking: Commands with dangerous expansion patterns are unconditionally blocked at the tool execution layer — regardless of permission mode (including --yolo / autopilot). This prevents exploitation even when all commands are auto-approved.

  3. System prompt hardening: The bash shell tool's system prompt now includes explicit instructions for the LLM to refuse executing commands with these patterns, providing a defense-in-depth layer.

User Actions

  1. Upgrade GitHub Copilot CLI to 0.0.423 or later.
  2. Exercise caution when working in untrusted repositories or with untrusted MCP servers.
  3. Review any shell commands suggested by the agent that contain complex parameter expansion patterns.

References

@andyfeller andyfeller published to github/copilot-cli Mar 6, 2026
Published to the GitHub Advisory Database Mar 6, 2026
Reviewed Mar 6, 2026
Published by the National Vulnerability Database Mar 6, 2026
Last updated Mar 13, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements Present
Privileges Required None
User interaction Active
Vulnerable System Impact Metrics
Confidentiality High
Integrity High
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(28th percentile)

Weaknesses

Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')

The product constructs all or part of an OS command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended OS command when it is sent to a downstream component. Learn more on MITRE.

CVE ID

CVE-2026-29783

GHSA ID

GHSA-g8r9-g2v8-jv6f

Source code

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