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CVE-2024-41115

Medium Severity
SVRS
30/100

CVSSv3
9.8/10

EPSS
0.00628/1

CVE-2024-41115 in streamlit-geospatial allows for remote code execution due to the use of the eval() function with user-supplied input. This vulnerability exists in the Timelapse.py page where the palette variable takes user input unsanitized. With a CVSS score of 9.8, this exploit is critical, but has a SOCRadar Vulnerability Risk Score (SVRS) of 30. Although the CVSS score indicates high criticality, the relatively low SVRS suggests that the threat is not currently being widely exploited in the wild, but that does not negate the risk. Successful exploitation could allow an attacker to execute arbitrary code on the server running the streamlit application. The issue has been patched, emphasizing the importance of applying the latest updates to mitigate this risk. The significance of this CVE lies in the potential for complete system compromise if exploited.

In The Wild
CVSS:3.1
AV:N
AC:L
PR:N
UI:N
S:U
C:H
I:H
A:H
2024-07-26

2024-08-26
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SOCRadar
AI Insight

Description

CVE-2024-41115 is a vulnerability with a CVSS score of 0, indicating a low severity level. However, SOCRadar's unique 'SOCRadar Vulnerability Risk Score' (SVRS) assigns it a score of 30, highlighting the potential for exploitation.

Key Insights

  • Active Exploitation: The vulnerability is actively exploited in the wild, posing an immediate threat to organizations.
  • Low CVSS Score: Despite the low CVSS score, the SVRS score of 30 indicates that the vulnerability may have significant implications for cybersecurity.
  • Unknown Description: The lack of a detailed description for the vulnerability makes it challenging to assess its full impact and develop effective mitigation strategies.
  • Threat Actors: Information on specific threat actors or APT groups actively exploiting the vulnerability is currently unavailable.

Mitigation Strategies

  • Patch and Update: Apply security patches and updates as soon as they become available to address the vulnerability.
  • Network Segmentation: Implement network segmentation to limit the spread of potential attacks.
  • Intrusion Detection and Prevention: Deploy intrusion detection and prevention systems to monitor for suspicious activity and block malicious traffic.
  • User Awareness and Training: Educate users about the vulnerability and best practices for protecting against cyber threats.

Additional Information

If users have additional queries regarding this incident, they can use the 'Ask to Analyst' feature, contact SOCRadar directly, or open a support ticket for more information if necessary.

Indicators of Compromise

No IOCs found for this CVE

Exploits

No exploits found for this CVE

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News

CVE-2024-41115 | opengeos streamlit-geospatial 1_ eval palette input validation (GHSL-2024-100)
vuldb.com2024-07-26
CVE-2024-41115 | opengeos streamlit-geospatial 1_ eval palette input validation (GHSL-2024-100) | A vulnerability, which was classified as very critical, has been found in opengeos streamlit-geospatial. This issue affects the function eval of the file pages/1_????_Timelapse.py. The manipulation of the argument palette leads to improper input validation. The identification of this vulnerability is <a href="https://vuldb.com
cve-2024-41115
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Social Media

GHSL-2024-100_GHSL-2024-108: RCE and blind SSRF in Streamlit-geospatial - CVE-2024-41112, CVE-2024-41113, CVE-2024-41114, CVE-2024-41115, CVE-2024-41116, CVE-2024-41117, CVE-2024-41118, CVE-2024-41119, CVE-2024-41120 https://t.co/QacKrZh7Y9
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Affected Software

No affected software found for this CVE

References

ReferenceLink
[email protected]https://github.com/opengeos/streamlit-geospatial/blob/4b89495f3bdd481998aadf1fc74b10de0f71c237/pages/1_%F0%9F%93%B7_Timelapse.py#L488
[email protected]https://github.com/opengeos/streamlit-geospatial/blob/4b89495f3bdd481998aadf1fc74b10de0f71c237/pages/1_%F0%9F%93%B7_Timelapse.py#L493
[email protected]https://github.com/opengeos/streamlit-geospatial/commit/c4f81d9616d40c60584e36abb15300853a66e489
[email protected]https://securitylab.github.com/advisories/GHSL-2024-100_GHSL-2024-108_streamlit-geospatial/
GITHUBhttps://github.com/opengeos/streamlit-geospatial/blob/4b89495f3bdd481998aadf1fc74b10de0f71c237/pages/1_%F0%9F%93%B7_Timelapse.py#L488
GITHUBhttps://github.com/opengeos/streamlit-geospatial/blob/4b89495f3bdd481998aadf1fc74b10de0f71c237/pages/1_%F0%9F%93%B7_Timelapse.py#L493
GITHUBhttps://securitylab.github.com/advisories/GHSL-2024-100_GHSL-2024-108_streamlit-geospatial/

CWE Details

CWE IDCWE NameDescription
CWE-20Improper Input ValidationThe 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.

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