CVE-2024-48107: sparkshop · Server-Side Request Forgery (SSRF)
Affects sparkshopSource CVE Database V5
Not known to be exploited · CVSS 6.5 Medium.
Data as of 26 Oct 2026, 09:15 UTC
- EPSS
- 0.2% chance of exploitation in 30 days – higher than 13% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:NExploitation evidence
Disclosed: evidence found.
CVE published 28 Oct 2024
Detectable: no evidence on record.
No public nuclei template indexed
Weaponised: no evidence on record.
No public exploit code indexed in Metasploit or Exploit-DB
Exploited in the wildExploited: no evidence on record.
Not in CISA KEV and no source reports exploitation
Observed by OffSeq MirageSeen by Mirage: no evidence on record.
No attack traffic recorded by OffSeq Mirage sensors
A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.
What to do
Affected software
| Product | Affected | Fixed in |
|---|---|---|
GitHubsparkshop/sparkshoppkg:github/sparkshop/sparkshopOther threats | Affected
| Fixed in– |
Check your own hosts for these packages with threat-finder (opens in a new tab), our free open-source scanner.
AI-suggested
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.
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.