opengeos streamlit-geospatial 1_????_Timelapse.py eval palette input validation

CVSS Meta Temp Score
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Current Exploit Price (≈)
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CTI Interest Score
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9.7$0-$5k0.00

Summaryinfo

A vulnerability was found in opengeos streamlit-geospatial. It has been rated as very critical. Affected by this vulnerability is the function eval of the file pages/1_????_Timelapse.py. This manipulation of the argument palette causes input validation. This vulnerability appears as CVE-2024-41114. The attack may be initiated remotely. There is no available exploit. It is recommended to apply a patch to fix this issue.

Detailsinfo

A vulnerability classified as very critical was found in opengeos streamlit-geospatial (version unknown). Affected by this vulnerability is the function eval of the file pages/1_????_Timelapse.py. The manipulation of the argument palette with an unknown input leads to a input validation vulnerability. The CWE definition for the vulnerability is CWE-20. The product receives input or data, but it does not validate or incorrectly validates that the input has the properties that are required to process the data safely and correctly. As an impact it is known to affect confidentiality, integrity, and availability. The summary by CVE is:

streamlit-geospatial is a streamlit multipage app for geospatial applications. Prior to commit c4f81d9616d40c60584e36abb15300853a66e489, the `palette` variable on line 430 in `pages/1_????_Timelapse.py` takes user input, which is later used in the `eval()` function on line 435, leading to remote code execution. Commit c4f81d9616d40c60584e36abb15300853a66e489 fixes this issue.

It is possible to read the advisory at securitylab.github.com. This vulnerability is known as CVE-2024-41114 since 07/15/2024. 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 pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 08/26/2024).

Applying the patch c4f81d9616d40c60584e36abb15300853a66e489 is able to eliminate this problem.

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

Productinfo

Vendor

Name

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔍
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 9.8
VulDB Meta Temp Score: 9.7

VulDB Base Score: 9.8
VulDB Temp Score: 9.4
VulDB Vector: 🔍
VulDB Reliability: 🔍

NVD Base Score: 9.8
NVD Vector: 🔍

CNA Base Score: 9.8
CNA Vector (GitHub_M): 🔍

CVSSv2info

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

Exploitinginfo

Class: Input validation
CWE: CWE-20
CAPEC: 🔍
ATT&CK: 🔍

Physical: No
Local: No
Remote: Yes

Availability: 🔍
Status: Not defined

EPSS Score: 🔍
EPSS Percentile: 🔍

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: c4f81d9616d40c60584e36abb15300853a66e489

Timelineinfo

07/15/2024 🔍
07/26/2024 +11 days 🔍
07/26/2024 +0 days 🔍
08/26/2024 +31 days 🔍

Sourcesinfo

Advisory: GHSL-2024-100
Status: Confirmed

CVE: CVE-2024-41114 (🔍)
GCVE (CVE): GCVE-0-2024-41114
GCVE (VulDB): GCVE-100-272503

Entryinfo

Created: 07/26/2024 22:48
Updated: 08/26/2024 23:21
Changes: 07/26/2024 22:48 (65), 07/30/2024 12:01 (1), 08/26/2024 23:21 (11)
Complete: 🔍
Cache ID: 216::103

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