CVE-2026-26020 Vulnerability Analysis & Exploit Details

CVE-2026-26020
Vulnerability Scoring

8.8
/10
Severe Risk

Cybersecurity professionals consider CVE-2026-26020 an immediate threat requiring urgent mitigation.

Attack Complexity Details

  • Attack Complexity: Low
    Exploits can be performed without significant complexity or special conditions.
  • Attack Vector: Network
    Vulnerability is exploitable over a network without physical access.
  • Privileges Required: Low
    Some privileges are necessary to exploit the vulnerability.
  • Scope: Unchanged
    Exploit remains within the originally vulnerable component.
  • User Interaction: None
    No user interaction is necessary for exploitation.

CVE-2026-26020 Details

Status: Analyzed

Last updated: 🕗 17 Feb 2026, 20:10 UTC
Originally published on: 🕘 12 Feb 2026, 21:16 UTC

Time between publication and last update: 4 days

CVSS Release: version 3

CVSS3 Source

nvd@nist.gov

CVSS3 Type

Primary

CVSS3 Vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H

CVE-2026-26020 Vulnerability Summary

CVE-2026-26020: AutoGPT is a platform that allows users to create, deploy, and manage continuous artificial intelligence agents that automate complex workflows. Prior to 0.6.48, an authenticated user could achieve Remote Code Execution (RCE) on the backend server by embedding a disabled block inside a graph. The BlockInstallationBlock — a development tool capable of writing and importing arbitrary Python code — was marked disabled=True, but graph validation did not enforce this flag. This allowed any authenticated user to bypass the restriction by including the block as a node in a graph, rather than calling the block's execution endpoint directly (which did enforce the flag). This vulnerability is fixed in 0.6.48.

Assessing the Risk of CVE-2026-26020

Access Complexity Graph

The exploitability of CVE-2026-26020 depends on two key factors: attack complexity (the level of effort required to execute an exploit) and privileges required (the access level an attacker needs).

Exploitability Analysis for CVE-2026-26020

CVE-2026-26020 presents an accessible attack vector with minimal effort required. Restricting access controls and implementing security updates are critical to reducing exploitation risks.

Understanding AC and PR

A lower complexity and fewer privilege requirements make exploitation easier. Security teams should evaluate these aspects to determine the urgency of mitigation strategies, such as patch management and access control policies.

Attack Complexity (AC) measures the difficulty in executing an exploit. A high AC means that specific conditions must be met, making an attack more challenging, while a low AC means the vulnerability can be exploited with minimal effort.

Privileges Required (PR) determine the level of system access necessary for an attack. Vulnerabilities requiring no privileges are more accessible to attackers, whereas high privilege requirements limit exploitation to authorized users with elevated access.

CVSS Score Breakdown Chart

Above is the CVSS Sub-score Breakdown for CVE-2026-26020, illustrating how Base, Impact, and Exploitability factors combine to form the overall severity rating. A higher sub-score typically indicates a more severe or easier-to-exploit vulnerability.

CIA Impact Analysis

Below is the Impact Analysis for CVE-2026-26020, showing how Confidentiality, Integrity, and Availability might be affected if the vulnerability is exploited. Higher values usually signal greater potential damage.

  • Confidentiality: High
    Exploiting CVE-2026-26020 can result in unauthorized access to sensitive data, severely compromising data privacy.
  • Integrity: High
    CVE-2026-26020 could allow unauthorized modifications to data, potentially affecting system reliability and trust.
  • Availability: High
    CVE-2026-26020 can disrupt system operations, potentially causing complete denial of service (DoS).

CVE-2026-26020 References

External References

CWE Common Weakness Enumeration

CWE-285

CAPEC Common Attack Pattern Enumeration and Classification

  • Accessing Functionality Not Properly Constrained by ACLs CAPEC-1 In applications, particularly web applications, access to functionality is mitigated by an authorization framework. This framework maps Access Control Lists (ACLs) to elements of the application's functionality; particularly URL's for web apps. In the case that the administrator failed to specify an ACL for a particular element, an attacker may be able to access it with impunity. An attacker with the ability to access functionality not properly constrained by ACLs can obtain sensitive information and possibly compromise the entire application. Such an attacker can access resources that must be available only to users at a higher privilege level, can access management sections of the application, or can run queries for data that they otherwise not supposed to.
  • Cross Zone Scripting CAPEC-104 An attacker is able to cause a victim to load content into their web-browser that bypasses security zone controls and gain access to increased privileges to execute scripting code or other web objects such as unsigned ActiveX controls or applets. This is a privilege elevation attack targeted at zone-based web-browser security.
  • Directory Indexing CAPEC-127 An adversary crafts a request to a target that results in the target listing/indexing the content of a directory as output. One common method of triggering directory contents as output is to construct a request containing a path that terminates in a directory name rather than a file name since many applications are configured to provide a list of the directory's contents when such a request is received. An adversary can use this to explore the directory tree on a target as well as learn the names of files. This can often end up revealing test files, backup files, temporary files, hidden files, configuration files, user accounts, script contents, as well as naming conventions, all of which can be used by an attacker to mount additional attacks.
  • Subverting Environment Variable Values CAPEC-13 The adversary directly or indirectly modifies environment variables used by or controlling the target software. The adversary's goal is to cause the target software to deviate from its expected operation in a manner that benefits the adversary.
  • Using Malicious Files CAPEC-17 An attack of this type exploits a system's configuration that allows an adversary to either directly access an executable file, for example through shell access; or in a possible worst case allows an adversary to upload a file and then execute it. Web servers, ftp servers, and message oriented middleware systems which have many integration points are particularly vulnerable, because both the programmers and the administrators must be in synch regarding the interfaces and the correct privileges for each interface.
  • Manipulating Opaque Client-based Data Tokens CAPEC-39 In circumstances where an application holds important data client-side in tokens (cookies, URLs, data files, and so forth) that data can be manipulated. If client or server-side application components reinterpret that data as authentication tokens or data (such as store item pricing or wallet information) then even opaquely manipulating that data may bear fruit for an Attacker. In this pattern an attacker undermines the assumption that client side tokens have been adequately protected from tampering through use of encryption or obfuscation.
  • Bypassing ATA Password Security CAPEC-402 An adversary exploits a weakness in ATA security on a drive to gain access to the information the drive contains without supplying the proper credentials. ATA Security is often employed to protect hard disk information from unauthorized access. The mechanism requires the user to type in a password before the BIOS is allowed access to drive contents. Some implementations of ATA security will accept the ATA command to update the password without the user having authenticated with the BIOS. This occurs because the security mechanism assumes the user has first authenticated via the BIOS prior to sending commands to the drive. Various methods exist for exploiting this flaw, the most common being installing the ATA protected drive into a system lacking ATA security features (a.k.a. hot swapping). Once the drive is installed into the new system the BIOS can be used to reset the drive password.
  • Buffer Overflow via Symbolic Links CAPEC-45 This type of attack leverages the use of symbolic links to cause buffer overflows. An adversary can try to create or manipulate a symbolic link file such that its contents result in out of bounds data. When the target software processes the symbolic link file, it could potentially overflow internal buffers with insufficient bounds checking.
  • Blue Boxing CAPEC-5 This type of attack against older telephone switches and trunks has been around for decades. A tone is sent by an adversary to impersonate a supervisor signal which has the effect of rerouting or usurping command of the line. While the US infrastructure proper may not contain widespread vulnerabilities to this type of attack, many companies are connected globally through call centers and business process outsourcing. These international systems may be operated in countries which have not upgraded Telco infrastructure and so are vulnerable to Blue boxing. Blue boxing is a result of failure on the part of the system to enforce strong authorization for administrative functions. While the infrastructure is different than standard current applications like web applications, there are historical lessons to be learned to upgrade the access control for administrative functions. This attack pattern is included in CAPEC for historical purposes.
  • Poison Web Service Registry CAPEC-51 SOA and Web Services often use a registry to perform look up, get schema information, and metadata about services. A poisoned registry can redirect (think phishing for servers) the service requester to a malicious service provider, provide incorrect information in schema or metadata, and delete information about service provider interfaces.
  • Session Credential Falsification through Prediction CAPEC-59 This attack targets predictable session ID in order to gain privileges. The attacker can predict the session ID used during a transaction to perform spoofing and session hijacking.
  • Reusing Session IDs (aka Session Replay) CAPEC-60 This attack targets the reuse of valid session ID to spoof the target system in order to gain privileges. The attacker tries to reuse a stolen session ID used previously during a transaction to perform spoofing and session hijacking. Another name for this type of attack is Session Replay.
  • Collect Data from Registries CAPEC-647 An adversary exploits a weakness in authorization to gather system-specific data and sensitive information within a registry (e.g., Windows Registry, Mac plist). These contain information about the system configuration, software, operating system, and security. The adversary can leverage information gathered in order to carry out further attacks.
  • Key Negotiation of Bluetooth Attack (KNOB) CAPEC-668 An adversary can exploit a flaw in Bluetooth key negotiation allowing them to decrypt information sent between two devices communicating via Bluetooth. The adversary uses an Adversary in the Middle setup to modify packets sent between the two devices during the authentication process, specifically the entropy bits. Knowledge of the number of entropy bits will allow the attacker to easily decrypt information passing over the line of communication.
  • Manipulating Web Input to File System Calls CAPEC-76 An attacker manipulates inputs to the target software which the target software passes to file system calls in the OS. The goal is to gain access to, and perhaps modify, areas of the file system that the target software did not intend to be accessible.
  • Manipulating User-Controlled Variables CAPEC-77 This attack targets user controlled variables (DEBUG=1, PHP Globals, and So Forth). An adversary can override variables leveraging user-supplied, untrusted query variables directly used on the application server without any data sanitization. In extreme cases, the adversary can change variables controlling the business logic of the application. For instance, in languages like PHP, a number of poorly set default configurations may allow the user to override variables.
  • Forceful Browsing CAPEC-87 An attacker employs forceful browsing (direct URL entry) to access portions of a website that are otherwise unreachable. Usually, a front controller or similar design pattern is employed to protect access to portions of a web application. Forceful browsing enables an attacker to access information, perform privileged operations and otherwise reach sections of the web application that have been improperly protected.

Vulnerable Configurations

  • cpe:2.3:a:agpt:autogpt_platform:0.1.0:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.1.0:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.1.1:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.1.1:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.2.0:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.2.0:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.2.1:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.2.1:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.2.2:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.2.2:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.3.0:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.3.0:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.3.1:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.3.1:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.3.2:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.3.2:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.3.3:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.3.3:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.3.4:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.3.4:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.0:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.0:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.1:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.1:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.2:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.2:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.3:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.3:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.4:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.4:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.5:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.5:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.6:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.6:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.7:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.7:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.8:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.8:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.9:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.9:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.10:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.10:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.4.11:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.4.11:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.5.0:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.5.0:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.5.1:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.5.1:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.0:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.0:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.1:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.1:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.2:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.2:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.3:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.3:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.4:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.4:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.5:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.5:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.6:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.6:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.7:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.7:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.8:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.8:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.9:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.9:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.10:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.10:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.11:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.11:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.12:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.12:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.13:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.13:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.14:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.14:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.15:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.15:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.16:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.16:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.17:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.17:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.18:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.18:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.19:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.19:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.20:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.20:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.21:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.21:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.22:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.22:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.23:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.23:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.24:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.24:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.25:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.25:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.26:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.26:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.27:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.27:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.28:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.28:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.29:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.29:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.30:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.30:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.31:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.31:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.32:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.32:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.33:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.33:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.34:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.34:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.35:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.35:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.36:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.36:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.37:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.37:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.38:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.38:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.39:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.39:beta:*:*:*:*:*:*
  • cpe:2.3:a:agpt:autogpt_platform:0.6.40:beta:*:*:*:*:*:*
    cpe:2.3:a:agpt:autogpt_platform:0.6.40:beta:*:*:*:*:*:*

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