VulnerabilityPublished 18 May 2026

CVE-2026-30950: Significant-Gravitas AutoGPT · Missing Authorization

Affects Significant-Gravitas AutoGPTSource CVE Database V5

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Not known to be exploited · CVSS 7.1 High : upgrade to 0.6.51 soon.

Data as of 30 Oct 2026, 11:52 UTC

CVSS 3.1 base score

7.1High

How severe the flaw is on the 0–10 CVSS scale.

EPSS: 0.3% chance of exploitation in 30 days – higher than 32% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
Patch: Available – fixed in 0.6.51

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

Attack Vector: Network
Attack Complexity: Low
Privileges Required: Low
User Interaction: None
Scope: Unchanged
Confidentiality: High
Integrity: None
Availability: Low

Bold values are the worst case: easiest to exploit or largest impact.

Attack Vector: Network: The vulnerable component is bound to the network stack and the set of possible attackers extends beyond the other options listed, up to and including the entire Internet. Such a vulnerability is often termed 'remotely exploitable' and can be thought of as an attack being exploitable at the protocol level one or more network hops away (e.g., across one or more routers).
Attack Complexity: Low: Specialized access conditions or extenuating circumstances do not exist. An attacker can expect repeatable success against the vulnerable component.
Privileges Required: Low: The attacker is authorized with (i.e., requires) privileges that provide basic user capabilities that could normally affect only settings and files owned by a user. Alternatively, an attacker with Low privileges may have the ability to cause an impact only to non-sensitive resources.
User Interaction: None: The vulnerable system can be exploited without any interaction from any user.
Scope: Unchanged: An exploited vulnerability can only affect resources managed by the same security authority. In this case, the vulnerable component and the impacted component are either the same, or both are managed by the same security authority.
Confidentiality: High: There is total loss of confidentiality, resulting in all resources within the impacted component being divulged to the attacker. Alternatively, access to only some restricted information is obtained, but the disclosed information presents a direct, serious impact.
Integrity: None: There is no loss of integrity within the impacted component.
Availability: Low: Performance is reduced or there are interruptions in resource availability. Even if repeated exploitation of the vulnerability is possible, the attacker does not have the ability to completely deny service to legitimate users. The resources in the impacted component are either partially available all of the time, or fully available only some of the time, but overall there is no direct, serious consequence to the impacted component.

Definitions: FIRST CVSS v3.1 specification.

Exploitation evidence

Disclosed: evidence found.
CVE published 18 May 2026
Detectable: no evidence on record.
No public nuclei template indexed
Weaponized: evidence found.
Public exploit code: GitHub proofs of concept
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), GitHub proofs of concept, the Metasploit, Exploit-DB and nuclei-templates index as of 30 Oct 2026.

Disclosed: The CVE record is public on cve.org. Its publication is t = 0.
Detectable: A public nuclei template can find exposed instances, for defenders and attackers alike.
Weaponized: A Metasploit exploit module or Exploit-DB entry exists (Metasploit scanner modules do not count), or CISA SSVC or the CVSS exploit maturity reports a public proof of concept.
Exploited in the wild: CISA KEV lists it, CISA SSVC rates exploitation active, or a source reports attacks.
Observed by OffSeq Mirage: OffSeq Mirage honeypot sensors recorded attack traffic for this CVE, or found exposed hosts without attack traffic.

Moments are spaced evenly, not to scale; a dashed line marks a gap of six months or more. Deltas count from t = 0. Sources that give only a date (CISA KEV, Exploit-DB, or a time of exactly 00:00Z) read “same day” rather than hours. Metasploit modules carry the flaw’s disclosure date, not their release date, and nuclei templates carry no date, so both appear above but not on the timeline.

What to do

Upgrade AutoGPT and significant-gravitas/AutoGPT to 0.6.51.

Affected software

Product	Affected	Fixed in
Significant-GravitasAutoGPT	Affected >=0.6.36 <0.6.51	Fixed in 0.6.51
GitHubsignificant-gravitas/AutoGPT`pkg:github/significant-gravitas/AutoGPT`Other threats	Affected <0.6.51 >=0.6.36	Fixed in 0.6.51

Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.

AI-suggested

Upgrade AutoGPT to version 0.6.51 or later, where this authorization bypass vulnerability has been patched. No other mitigation is indicated or required as the fix is available in the official release.

Description

AutoGPT versions 0.6.36 through 0.6.50 contain a missing authorization vulnerability that allows authenticated users to hijack other users' sessions. The PATCH /sessions/{session_id}/assign-user endpoint does not verify session ownership, enabling attackers who know another user's session_id to reassign that session to themselves. This lets the attacker read messages in the hijacked session and lock out the legitimate user. The vulnerability is fixed in version 0.6.51.

Impact

An authenticated attacker who can determine another user's session_id can hijack that session, gaining access to all messages within it and locking out the legitimate user. This compromises confidentiality of session data and causes denial of service to the legitimate user. The CVSS 3.1 score is 7.1 (high), reflecting network attack vector, low attack complexity, required privileges, no user interaction, unchanged scope, high confidentiality impact, no integrity impact, and low availability impact.

Summary

AutoGPT, a workflow automation platform for AI agents, has a missing authorization vulnerability (CWE-862) in versions 0.6.36 to 0.6.50. The PATCH /sessions/{session_id}/assign-user endpoint authenticates the caller but fails to verify that the caller owns the session. The service layer passes user_id=None to the data access layer, which treats this as a privileged call and bypasses ownership checks. Consequently, any authenticated user can reassign an arbitrary session to themselves if they know the session_id, resulting in authenticated session hijacking. This vulnerability is addressed in AutoGPT version 0.6.51.

CWE-862Missing Authorization (opens in a new tab)
Class weaknessLikelihood of exploit: HighCWE Top 25 (2025): #4OWASP Top 10 A01:2025: Broken Access Control (opens in a new tab)
The product does not perform an authorization check when an actor attempts to access a resource or perform an action.
Architecture and Design
Divide the product into anonymous, normal, privileged, and administrative areas. Reduce the attack surface by carefully mapping roles with data and functionality. Use role-based access control (RBAC) to enforce the roles at the appropriate boundaries.
Architecture and Design
Ensure that access control checks are performed related to the business logic. These checks may be different than the access control checks that are applied to more generic resources such as files, connections, processes, memory, and database records.
Architecture and Design · Libraries or Frameworks
Use a vetted library or framework that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
OWASP Cheat Sheets
Authorization (opens in a new tab)
OWASP ASVS 4.0.3
V8.3.8 (opens in a new tab)
V13.4.2 (opens in a new tab)
V7.2.2 (opens in a new tab)
Attack patterns
Exploitation of Thunderbolt Protection Flaws (opens in a new tab)
From MITRE CWE, MITRE CAPEC and OWASP (Top 10, OpenCRE).

References

Community reviews

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Exploitation evidence

What to do

Affected software

Description

AI analysisMachine-generated, updated 26 May 2026, 08:25 UTC

Public exploits and detectionGitHub proofs of concept

WeaknessesCWE-862

Technical details

References

Community reviews

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