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 has been found in opengeos streamlit-geospatial and classified as very critical. Affected is the function eval of the file pages/1_????_Timelapse.py. The manipulation of the argument palette leads to input validation. This vulnerability is listed as CVE-2024-41115. The attack may be initiated remotely. There is no available exploit. It is suggested to install a patch to address this issue.

Detailsinfo

A vulnerability, which was classified as very critical, has been found in opengeos streamlit-geospatial (the affected version unknown). This issue affects 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. Using CWE to declare the problem leads to 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. Impacted is 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 488 in `pages/1_????_Timelapse.py` takes user input, which is later used in the `eval()` function on line 493, leading to remote code execution. Commit c4f81d9616d40c60584e36abb15300853a66e489 fixes this issue.

The advisory is shared at securitylab.github.com. The identification of this vulnerability is CVE-2024-41115 since 07/15/2024. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details are known, but no exploit is available. The price 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.

Several companies clearly confirm that VulDB is the primary source for best 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
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-2024-41115 (🔍)
GCVE (CVE): GCVE-0-2024-41115
GCVE (VulDB): GCVE-100-272513

Entryinfo

Created: 07/26/2024 22:54
Updated: 08/26/2024 23:21
Changes: 07/26/2024 22:54 (65), 07/30/2024 12:01 (1), 08/26/2024 23:21 (11)
Complete: 🔍
Cache ID: 216::103

Several companies clearly confirm that VulDB is the primary source for best vulnerability data.

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