Fosowl AgenticSeek llm_server/app.py os command injection

CVSS Meta Temp Score
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CTI Interest Score
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7.5$0-$5k0.82+

Summaryinfo

A vulnerability was found in Fosowl AgenticSeek. It has been classified as critical. This affects an unknown part of the file llm_server/app.py. This manipulation causes os command injection. This vulnerability is tracked as CVE-2026-115727. The attack is possible to be carried out remotely. No exploit exists. It is recommended to apply a patch to fix this issue.

Detailsinfo

A vulnerability classified as critical was found in Fosowl AgenticSeek (unknown version). Affected by this vulnerability is an unknown code block of the file llm_server/app.py. The manipulation with an unknown input leads to a os command injection vulnerability. The CWE definition for the vulnerability is CWE-78. 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. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

AgenticSeek before commit 409840c contains a remote code execution vulnerability because llm_server/app.py hardcodes Flask debug mode while binding to all interfaces. Attackers who reach the server port and obtain the derivable Werkzeug debugger PIN can execute Python code and operating system commands with llm_server privileges.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-115727 since 10/23/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit. The attack technique deployed by this issue is T1202 according to MITRE ATT&CK.

Applying the patch 409840c033851d861c5c83a91c05fd4a2a75a096 is able to eliminate this problem.

Be aware that VulDB is the high quality source for vulnerability data.

Productinfo

Vendor

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒

CVSSv3info

VulDB Meta Base Score: 7.7
VulDB Meta Temp Score: 7.5

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

CNA Base Score: 8.1
CNA Vector (VulnCheck): 🔒

CVSSv2info

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

Exploitinginfo

Class: Os command injection
CWE: CWE-78 / CWE-77 / CWE-74
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
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: Patch
Status: 🔍

0-Day Time: 🔒

Patch: 409840c033851d861c5c83a91c05fd4a2a75a096

Timelineinfo

10/23/2026 Advisory disclosed
10/23/2026 +0 days CVE reserved
10/23/2026 +0 days VulDB entry created
10/23/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-115727 (🔒)
GCVE (CVE): GCVE-0-2026-115727
GCVE (VulDB): GCVE-100-425647

Entryinfo

Created: 10/23/2026 14:09
Changes: 10/23/2026 14:09 (75)
Complete: 🔍
Cache ID: 216::103

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