Anything Llm
CVE-2023-4899
HIGH
Vulnerability Assessment
| Weakness |
CWE
OWASP Top 10:2025
A05:2025 - Injection
ASVS 5.0
V1 - Encoding and Sanitization Parameterized queries, prepared statements
MITRE ATT&CK
2 techniques across 2 tactics: Initial Access, Persistence The technique list with ATT&CK links and the kill-chain view is part of the Basic plan and up. |
| Impact | CVSS score of 8.8 (HIGH). Attack characteristics: network attack vector, low complexity, low privileges required, no user interaction not required. Public proof-of-concept exploit code is available. |
| Exploit ScenarioDerived | A remote attacker could execute arbitrary SQL commands against the database by sending crafted requests to the affected application. |
Get an e-mail when this CVE is exploited, patched or re-scored. Free account.
Alert meAnalysisAI
SQL Injection in GitHub repository mintplex-labs/anything-llm prior to 0.0.1. Rated high severity (CVSS 8.8), this vulnerability is remotely exploitable, low attack complexity. Public exploit code available.
RemediationAI
A vendor patch is available. Apply the latest security update as soon as possible. Use parameterized queries/prepared statements. Never concatenate user input into SQL. Apply least-privilege database permissions.
Affects your stack
Find out whether the stacks and servers you run are on an affected version.
Checking this CVE against your own stacks and servers is part of the Basic plan and up.
Technical ContextAI · show details
This vulnerability is classified as SQL Injection (CWE-89), which allows attackers to execute arbitrary SQL commands against the database. SQL Injection in GitHub repository mintplex-labs/anything-llm prior to 0.0.1. Affected products include: Mintplexlabs Anything-Llm. Version information: prior to 0.0.1..
Know when Anything Llm gets its next vulnerability
- Watch products and get an email when something new is published
- Check this CVE against your own stack and servers
- Exploit and PoC references, threat intelligence from 22 sources
No credit card · 7-day full trial
Severity by source
AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H
Primary rating from NVD · only source for this CVE.
CVSS VectorNVD
DescriptionNVD
SQL Injection in GitHub repository mintplex-labs/anything-llm prior to 0.0.1.
Threat Intelligence Overview
NVD
CVE.org
EPSS
GitHub
How this decision was reached
The engine reads each signal below and applies a fixed list of rules from top to bottom. The first rule that matches sets the recommended action – like a statement, every line is shown.
What every action level means
SSVC AssessmentENISA
Priority Score
Attack Technique
SQL injection exploits the way applications construct database queries by mixing user input directly into SQL statements.
Affected Products (CPE)NVD
More in Anything Llm
View allAuthentication Bypass by Primary Weakness in GitHub repository mintplex-labs/anything-llm prior to 0.0.1. Rated high sev
XSS in AnythingLLM 1.11.1 and earlier.
Argument-injection command execution in Mintplex Labs AnythingLLM before 1.13.0 lets an attacker who can chat with an ag
SQL injection in AnythingLLM versions 1.11.1 and earlier enables authenticated users to execute arbitrary SQL commands a
AnythingLLM versions 1.11.1 and earlier contain an authentication bypass vulnerability on default installations where th
Stored XSS in AnythingLLM 1.16.1 and earlier enables a manager-role user to inject arbitrary JavaScript into the applica
Stored DOM-level XSS in AnythingLLM's chart caption rendering allows authenticated users in shared workspaces to inject
Path traversal in AnythingLLM's document folder listing endpoint on Windows allows authenticated low-privilege users to
Stale mobile device tokens in AnythingLLM survive single-user to multi-user mode migration with a null userId, allowing
The text-to-speech endpoint in AnythingLLM prior to v1.12.1 exposes an Insecure Direct Object Reference (IDOR) allowing
AnythingLLM versions 1.11.1 and earlier contain a Zip Slip path traversal vulnerability in the community plugin import f
AnythingLLM is an application that turns pieces of content into context that any LLM can use as references during chatti
Exploit-DB