donglight bookstore电商书城系统说明 1.0.0 HttpUtil.java getHtml url server-side request forgery
CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
---|---|---|
6.0 | $0-$5k | 0.00 |
Overview
A vulnerability was found in donglight bookstore电商书城系统说明 1.0.0. It has been classified as critical. This affects the function getHtml
of the file src/main/java/org/zdd/bookstore/rawl/HttpUtil.java. The manipulation of the argument url leads to server-side request forgery. The CWE definition for the vulnerability is CWE-918. The weakness was disclosed 01/08/2025 as Bookstore has SSRF #11. It is possible to read the advisory at github.com.
This vulnerability is uniquely identified as CVE-2024-13195. It is possible to initiate the attack remotely. Technical details are available. Furthermore, there is an exploit available. The exploit has been disclosed to the public and may be used. The pricing for an exploit might be around USD $0-$5k at the moment.
It is declared as proof-of-concept. The exploit is shared for download at github.com. We expect the 0-day to have been worth approximately $0-$5k. [Details]
IOB - Indicator of Behavior (168)
Timeline
The data in this chart does not reflect real data. It is dummy data, distorted and not usable in any way. You need an additional purchase to unlock this view to get access to more details of real data.
Activities
IOC - Indicator of Compromise (7)
These indicators of compromise highlight associated network ranges which are known to be part of research and attack activities.
ID | IP range | Actor | Type | Confidence |
---|---|---|---|---|
1 | 5.255.108.0/24 | Cobalt Strike | predictive | High |
2 | XX.XXX.XXX.X/XX | Xxxxxx Xxxxxx | predictive | High |
3 | XX.XXX.XX.X/XX | Xxxxxxxx | predictive | High |
4 | XXX.XX.X.X/XX | Xxxxxx Xxxxxx Xx Xxxxxxx | predictive | High |
5 | XXX.XXX.XXX.X/XX | Xxxxxxxx | predictive | High |
6 | XXX.XXX.XXX.X/XX | Xxxxxxx Xxxxxxx | predictive | High |
7 | XXX.XX.XX.X/XX | Xxxxxx Xxxxxx Xx Xxxxxxx | predictive | High |
IOA - Indicator of Attack (2)
These indicators of attack list the potential fragments used for technical activities like reconnaissance, exploitation, privilege escalation, and exfiltration. This data is unique as it uses our predictive model for actor profiling.
ID | Class | Indicator | Type | Confidence |
---|---|---|---|---|
1 | File | src/main/java/org/zdd/bookstore/rawl/HttpUtil.java | verified | High |
2 | Argument | xxx | verified | Low |