CVE-2024-48107: n/a
SparkShop <=1.1.7 is vulnerable to server-side request forgery (SSRF). This vulnerability allows attacks to scan ports on the Intranet or local network where the server resides, attack applications running on the Intranet or local network, or read metadata on the cloud server.
AI Analysis
Technical Summary
CVE-2024-48107 identifies a server-side request forgery (SSRF) vulnerability in SparkShop versions up to 1.1.7. SSRF vulnerabilities occur when an attacker can manipulate a server to make HTTP requests to arbitrary domains, including internal network resources or cloud metadata endpoints, which are normally inaccessible externally. In this case, the vulnerability enables attackers to scan ports on the intranet or local network where the SparkShop server is hosted, potentially identifying other vulnerable services or systems. Additionally, attackers can target applications running on the internal network or retrieve sensitive metadata from cloud provider services, such as AWS EC2 instance metadata, which may contain credentials or configuration data. The vulnerability does not require authentication or user interaction, increasing its risk profile. The CVSS vector (AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N) indicates the attack is network-based with low complexity, no privileges or user interaction needed, and results in high confidentiality impact without affecting integrity or availability. While no public exploits have been reported, the lack of patches or mitigation guidance in the provided data suggests organizations should proactively address this issue. The vulnerability is classified under CWE-918, which covers SSRF weaknesses. Given the nature of SSRF, attackers can leverage this flaw for reconnaissance and lateral movement within internal networks or cloud environments, potentially leading to further compromise.
Potential Impact
The primary impact of CVE-2024-48107 is unauthorized access to internal network resources and sensitive cloud metadata, which can lead to significant confidentiality breaches. Attackers can perform port scanning on the intranet, identifying vulnerable services for subsequent exploitation. Access to cloud metadata services can expose credentials or tokens, enabling privilege escalation or data exfiltration. Although integrity and availability are not directly affected, the information gained through this vulnerability can facilitate more severe attacks, including lateral movement, data theft, or deployment of malware. Organizations relying on SparkShop in cloud or on-premises environments are at risk of internal network reconnaissance and exposure of sensitive configuration data. The medium CVSS score reflects the moderate ease of exploitation combined with the significant confidentiality impact. The absence of required authentication and user interaction increases the likelihood of exploitation, especially in environments where SparkShop servers are exposed to untrusted networks or the internet.
Mitigation Recommendations
To mitigate CVE-2024-48107, organizations should first verify if they are running vulnerable versions of SparkShop (<=1.1.7) and plan immediate upgrades once patches become available. In the absence of official patches, implement network-level controls to restrict outbound HTTP requests from the SparkShop server to only trusted destinations, effectively blocking unauthorized internal or cloud metadata access. Employ strict egress filtering and firewall rules to prevent SSRF exploitation. Additionally, configure cloud environments to limit metadata service exposure, such as enabling metadata service version 2 (IMDSv2) on AWS, which requires session tokens and reduces SSRF risk. Application-level input validation and sanitization should be enhanced to prevent injection of malicious URLs or payloads that trigger SSRF. Monitoring and logging outbound requests from the SparkShop server can help detect suspicious activity indicative of exploitation attempts. Finally, conduct internal network segmentation to limit the impact of any SSRF-based reconnaissance or attacks.
Affected Countries
United States, Germany, United Kingdom, Canada, Australia, France, Netherlands, Japan, South Korea, India
CVE-2024-48107: n/a
Description
SparkShop <=1.1.7 is vulnerable to server-side request forgery (SSRF). This vulnerability allows attacks to scan ports on the Intranet or local network where the server resides, attack applications running on the Intranet or local network, or read metadata on the cloud server.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-48107 identifies a server-side request forgery (SSRF) vulnerability in SparkShop versions up to 1.1.7. SSRF vulnerabilities occur when an attacker can manipulate a server to make HTTP requests to arbitrary domains, including internal network resources or cloud metadata endpoints, which are normally inaccessible externally. In this case, the vulnerability enables attackers to scan ports on the intranet or local network where the SparkShop server is hosted, potentially identifying other vulnerable services or systems. Additionally, attackers can target applications running on the internal network or retrieve sensitive metadata from cloud provider services, such as AWS EC2 instance metadata, which may contain credentials or configuration data. The vulnerability does not require authentication or user interaction, increasing its risk profile. The CVSS vector (AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N) indicates the attack is network-based with low complexity, no privileges or user interaction needed, and results in high confidentiality impact without affecting integrity or availability. While no public exploits have been reported, the lack of patches or mitigation guidance in the provided data suggests organizations should proactively address this issue. The vulnerability is classified under CWE-918, which covers SSRF weaknesses. Given the nature of SSRF, attackers can leverage this flaw for reconnaissance and lateral movement within internal networks or cloud environments, potentially leading to further compromise.
Potential Impact
The primary impact of CVE-2024-48107 is unauthorized access to internal network resources and sensitive cloud metadata, which can lead to significant confidentiality breaches. Attackers can perform port scanning on the intranet, identifying vulnerable services for subsequent exploitation. Access to cloud metadata services can expose credentials or tokens, enabling privilege escalation or data exfiltration. Although integrity and availability are not directly affected, the information gained through this vulnerability can facilitate more severe attacks, including lateral movement, data theft, or deployment of malware. Organizations relying on SparkShop in cloud or on-premises environments are at risk of internal network reconnaissance and exposure of sensitive configuration data. The medium CVSS score reflects the moderate ease of exploitation combined with the significant confidentiality impact. The absence of required authentication and user interaction increases the likelihood of exploitation, especially in environments where SparkShop servers are exposed to untrusted networks or the internet.
Mitigation Recommendations
To mitigate CVE-2024-48107, organizations should first verify if they are running vulnerable versions of SparkShop (<=1.1.7) and plan immediate upgrades once patches become available. In the absence of official patches, implement network-level controls to restrict outbound HTTP requests from the SparkShop server to only trusted destinations, effectively blocking unauthorized internal or cloud metadata access. Employ strict egress filtering and firewall rules to prevent SSRF exploitation. Additionally, configure cloud environments to limit metadata service exposure, such as enabling metadata service version 2 (IMDSv2) on AWS, which requires session tokens and reduces SSRF risk. Application-level input validation and sanitization should be enhanced to prevent injection of malicious URLs or payloads that trigger SSRF. Monitoring and logging outbound requests from the SparkShop server can help detect suspicious activity indicative of exploitation attempts. Finally, conduct internal network segmentation to limit the impact of any SSRF-based reconnaissance or attacks.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-10-08T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6d0bb7ef31ef0b56d729
Added to database: 2/25/2026, 9:43:39 PM
Last enriched: 2/28/2026, 7:37:17 AM
Last updated: 4/12/2026, 3:34:51 PM
Views: 16
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