mintplex-labs anything-llm up to 0.0.x timing discrepancy
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.5 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in mintplex-labs anything-llm up to 0.0.x. This issue affects some unknown processing. This manipulation causes timing discrepancy. This vulnerability is handled as CVE-2024-0436. The attack can be initiated remotely. There is not any exploit available. It is advisable to upgrade the affected component.
Details
A vulnerability has been found in mintplex-labs anything-llm up to 0.0.x and classified as problematic. Affected by this vulnerability is an unknown functionality. The manipulation with an unknown input leads to a timing discrepancy vulnerability. The CWE definition for the vulnerability is CWE-208. Two separate operations in a product require different amounts of time to complete, in a way that is observable to an actor and reveals security-relevant information about the state of the product, such as whether a particular operation was successful or not. As an impact it is known to affect confidentiality. The summary by CVE is:
Theoretically, it would be possible for an attacker to brute-force the password for an instance in single-user password protection mode via a timing attack given the linear nature of the `!==` used for comparison. The risk is minified by the additional overhead of the request, which varies in a non-constant nature making the attack less reliable to execute
The weakness was released 02/26/2024 as 3c859ba3038121b67fb98e87dc52617fa27cbef0. It is possible to read the advisory at github.com. This vulnerability is known as CVE-2024-0436 since 01/11/2024. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1592 according to MITRE ATT&CK.
Upgrading to version 1.0.0 eliminates this vulnerability. Applying the patch 3c859ba3038121b67fb98e87dc52617fa27cbef0 is able to eliminate this problem. The bugfix is ready for download at github.com. The best possible mitigation is suggested to be upgrading to the latest version.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
License
Website
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.6VulDB Meta Temp Score: 5.5
VulDB Base Score: 3.7
VulDB Temp Score: 3.6
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 5.9
NVD Vector: 🔍
CNA Base Score: 7.1
CNA Vector (huntr.dev): 🔍
CVSSv2
| AV | AC | Au | C | I | A |
|---|---|---|---|---|---|
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
|---|---|---|---|---|---|
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
| Unlock | Unlock | Unlock | Unlock | Unlock | Unlock |
VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Timing discrepancyCWE: CWE-208 / CWE-203 / CWE-200
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔍
Upgrade: anything-llm 1.0.0
Patch: 3c859ba3038121b67fb98e87dc52617fa27cbef0
Timeline
01/11/2024 🔍02/26/2024 🔍
02/26/2024 🔍
03/27/2025 🔍
Sources
Product: github.comAdvisory: 3c859ba3038121b67fb98e87dc52617fa27cbef0
Status: Confirmed
CVE: CVE-2024-0436 (🔍)
GCVE (CVE): GCVE-0-2024-0436
GCVE (VulDB): GCVE-100-254731
Entry
Created: 02/26/2024 07:47Updated: 03/27/2025 12:30
Changes: 02/26/2024 07:47 (51), 03/14/2024 08:10 (1), 03/27/2025 12:30 (27)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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