CVE-2024-47169 | Agnai vulnerable to Remote Code Execution via JS Upload using Directory Traversal

Agnai is an artificial-intelligence-agnostic multi-user, mult-bot roleplaying chat system. A vulnerability in versions prior to 1.0.330 permits attackers to upload arbitrary files to attacker-chosen locations on the server, including JavaScript, enabling the execution of commands within those files. This issue could result in unauthorized access, full server compromise, data leakage, and other critical security threats. This does not affect `agnai.chat`, installations using S3-compatible storage, or self-hosting that is not publicly exposed. This does affect publicly hosted installs without S3-compatible storage. Version 1.0.330 fixes this vulnerability.

Published: 2024-09-26 Last update: 2024-10-30 Assigner: [email protected] Source: [email protected]
NVD Status：Analyzed，CVE State: published
View at NVD, CVE.org, EUVD

CVE-2024-47169 is rated Moderate Risk (62.8/100): CVSS High severity, with medium exploitation likelihood (EPSS 1.15%). Review affected assets and schedule remediation.

Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.

Exploit prediction scoring system (EPSS) score for CVE-2024-47169

EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).

# Date Old EPSS score New EPSS score Delta (New - Old)
1 2026-02-15 0.85% 1.15% +0.30%
2 2025-12-08 1.11% 0.85% -0.26%
3 2025-11-21 — 1.11% —

Full EPSS history (19 records total)

Common vulnerability scoring system (CVSS) metrics for CVE-2024-47169

CVSS metrics for this CVE.

Base score Version Severity Vector Exploitability Impact Score source
8.8 3.1 HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:L)
A normal user session is enough; they don’t have to be admin.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:H)
Serious risk that confidential data gets exposed in a big way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
 2.8 5.9 [email protected]
8.8 3.1 HIGH
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Click to expand
Attack vector (AV:N)
Could be attacked over the internet or any normal routed network—not just someone sitting at the machine.
Attack complexity (AC:L)
Once they can reach the bug, pulling it off is straightforward—no weird race conditions or rare setup.
Privileges required (PR:L)
A normal user session is enough; they don’t have to be admin.
User interaction (UI:N)
Nobody has to click “OK” or open a trap file; it can work without a victim helping.
Scope (S:U)
Damage stays in the same “trust bubble” as the broken component—no big spill into unrelated systems.
Confidentiality (C:H)
Serious risk that confidential data gets exposed in a big way.
Integrity (I:H)
They could widely tamper with or forge data—trust in the data is badly hurt.
Availability (A:H)
Could take the service down hard or make it unusable for people who depend on it.
 2.8 5.9 [email protected]

Weakness enumeration for CVE-2024-47169

GitHub Security Advisory for CVE-2024-47169

GHSA-mpch-89gm-hm83 · Severity: critical · Ecosystem: npm — Agnai vulnerable to Remote Code Execution via JS Upload using Directory Traversal

Affected software / configurations for CVE-2024-47169

Vendor Product Version Raw CPE
agnai agnai < 1.0.330 cpe:2.3:a:agnai:agnai:*:*:*:*:*:*:*:*

References for CVE-2024-47169

cvelogic Threat Intelligence