Oraios AI Serena up to 0.x MCP Server sandbox ⚔ [Disputed]

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.0$0-$5k0.26

Summaryinfo

A vulnerability marked as critical has been reported in Oraios AI Serena up to 0.x. This impacts an unknown function of the component MCP Server. The manipulation leads to sandbox. This vulnerability is traded as CVE-2026-38924. It is possible to initiate the attack remotely. There is no exploit available. There are still doubts about whether this vulnerability truly exists. It is suggested to upgrade the affected component.

Detailsinfo

A vulnerability was found in Oraios AI Serena up to 0.x. It has been rated as critical. This issue affects an unknown code of the component MCP Server. The manipulation with an unknown input leads to a sandbox vulnerability. Using CWE to declare the problem leads to CWE-265. Impacted is confidentiality, integrity, and availability. The summary by CVE is:

In Oraios AI Serena before 1.0.0, the listen address of the MCP server in HTTP mode is 0.0.0.0. NOTE: the Supplier observed that 0.0.0.0 was a "potential security hazard" but the Serena documentation, at the time of the issue report proposing 127.0.0.1 instead of 0.0.0.0, recommended "use a sandboxed environment for running Serena."

It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2026-38924 since 04/06/2026. The exploitation is known to be easy. The attack may be initiated remotely. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1611 according to MITRE ATT&CK.

The real existence of this vulnerability is still doubted at the moment.

Upgrading to version 1.0.0 eliminates this vulnerability.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.1
VulDB Meta Temp Score: 5.0

VulDB Base Score: 7.3
VulDB Temp Score: 7.0
VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA Base Score: 2.9
CNA Vector (MITRE): 🔒

CVSSv2info

AVACAuCIA
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💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Sandbox
CWE: CWE-265 / CWE-264
CAPEC: 🔒
ATT&CK: 🔒

Physical: Partially
Local: Yes
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: Upgrade
Status: 🔍

0-Day Time: 🔒

Upgrade: Serena 1.0.0

Timelineinfo

04/06/2026 CVE reserved
09/14/2026 +161 days Advisory disclosed
09/14/2026 +0 days VulDB entry created
09/14/2026 +0 days VulDB entry last update

Sourcesinfo

Advisory: github.com
Status: Confirmed
Disputed: 🔍

CVE: CVE-2026-38924 (🔒)
GCVE (CVE): GCVE-0-2026-38924
GCVE (VulDB): GCVE-100-403379

Entryinfo

Created: 09/14/2026 05:11
Changes: 09/14/2026 05:11 (66)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

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