XXL-JOB 2.3.1 New Password /user/updatePwd cross-site request forgery

EntryHistoryDiffjsonxmlCTI

CVSS Meta Temp Score CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.	Current Exploit Price (≈) Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.	CTI Interest Score Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
4.9	$0-$5k	0.17

Overview

A vulnerability, which was classified as problematic, has been found in XXL-JOB 2.3.1. Affected by this issue is some unknown functionality of the file /user/updatePwd of the component New Password Handler. The manipulation leads to cross-site request forgery. Using CWE to declare the problem leads to CWE-352. The weakness was released 02/04/2023. The advisory is shared for download at github.com. This vulnerability is handled as CVE-2023-0674. The attack may be launched remotely. Technical details are available. Furthermore, there is an exploit available. The exploit has been disclosed to the public and may be used. The current price for an exploit might be approx. USD $0-$5k at the moment. It is declared as proof-of-concept. The exploit is available at github.com. As 0-day the estimated underground price was around $0-$5k. A possible mitigation has been published before and not just after the disclosure of the vulnerability. [Details]

IOB - Indicator of Behavior (1112)

Timeline

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Lang

en	1094
zh	12
ja	2
pt	2
es	2

Country

us	136
gb	74
cn	74
de	20
nl	10

Actors

Mirai	2
AsyncRAT	2
Bashlite	2
RedLine Stealer	2
JSSLoader	1

Activities

IOC - Indicator of Compromise (24)

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	23.128.248.0/24	Mirai	predictive	High
2	23.237.228.0/24	FritzFrog	predictive	High
3	43.225.59.0/24	Groundhog	predictive	High
4	XX.XXX.XX.X/XX	Xxxxxxx Xxxxxxx	predictive	High
5	XX.XX.XX.X/XX	Xxxxxxxxx	predictive	High
6	XX.XXX.XXX.X/XX	Xxxxxxx	predictive	High
7	XX.XX.XXX.X/XX	Xxxxxxxx	predictive	High
8	XX.XXX.X.X/XX	Xxxxx	predictive	High
9	XX.XX.XXX.X/XX	Xxxxxxx	predictive	High
10	XX.XXX.XXX.X/XX	Xxxxx	predictive	High
11	XXX.XX.X.X/XX	Xxxxxx	predictive	High
12	XXX.XX.XX.X/XX	Xxxxxx	predictive	High
13	XXX.XX.XX.X/XX	Xxxxxx	predictive	High
14	XXX.XXX.XX.X/XX	Xxxxx	predictive	High
15	XXX.XXX.XXX.X/XX	Xxxxxxxxxx	predictive	High
16	XXX.XXX.XXX.X/XX	Xxxxxxx Xxxxxxx	predictive	High
17	XXX.XX.XXX.X/XX	Xxxxxxx Xxxxxxx	predictive	High
18	XXX.XX.XXX.X/XX	Xxxxxx Xxx	predictive	High
19	XXX.XXX.XXX.X/XX	Xxxxxxx	predictive	High
20	XXX.XXX.XXX.X/XX	Xxxxxxxxx	predictive	High
21	XXX.XX.XX.X/XX	Xxxxxxx	predictive	High
22	XXX.XX.XX.X/XX	Xxxxxxxxxx	predictive	High
23	XXX.XXX.XXX.X/XX	Xxxxx	predictive	High
24	XXX.XXX.XXX.X/XX	Xxxxx	predictive	High

IOA - Indicator of Attack (1)

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	/xxxx/xxxxxxxxx	predictive	High

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