Kau-Boy Backend Localization Plugin up to 1.6.1 on WordPress backend_localization.php cross site scripting

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.
4.3	$0-$5k	0.06

Overview

A vulnerability was found in Kau-Boy Backend Localization Plugin up to 1.6.1 on WordPress. It has been rated as problematic. This issue affects some unknown processing of the file backend_localization.php. The manipulation leads to cross site scripting. The CWE definition for the vulnerability is CWE-79. The weakness was released 07/31/2012 as 43dc96defd7944da12ff116476a6890acd7dd24b. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2012-10013. The attack may be initiated remotely. Technical details are available. There is no exploit available. The pricing for an exploit might be around USD $0-$5k at the moment. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK. It is declared as not defined. We expect the 0-day to have been worth approximately $0-$5k. Upgrading to version 2.0 is able to address this issue. The updated version is ready for download at github.com. The patch is named 43dc96defd7944da12ff116476a6890acd7dd24b. The bugfix is ready for download at github.com. It is recommended to upgrade the affected component. A possible mitigation has been published before and not just after the disclosure of the vulnerability. [Details]

IOB - Indicator of Behavior (629)

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.

Lang

en	598
zh	12
de	6
ru	4
pl	4

Country

gb	48
de	14
jp	4
cn	4
it	4

Actors

Cobalt Strike	4
Sliver	4

Activities

IOC - Indicator of Compromise (13)

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	3.71.81.0/24	Sliver	predictive	High
2	3.76.98.0/24	Sliver	predictive	High
3	X.XX.XXX.X/XX	Xxxxxx	predictive	High
4	X.XXX.XX.X/XX	Xxxxxxx Xxxxxxx	predictive	High
5	X.XXX.XXX.X/XX	Xxxxxxxxx	predictive	High
6	X.XXX.XXX.X/XX	Xxxxxx	predictive	High
7	X.XXX.XXX.X/XX	Xxxxx	predictive	High
8	X.XXX.XXX.X/XX	Xxxxxx Xxxxxx	predictive	High
9	XX.XXX.XXX.X/XX	Xxxxxx Xxxxxx	predictive	High
10	XX.XXX.XXX.X/XX	Xxxxxx Xxxxxx	predictive	High
11	XX.XX.XXX.X/XX	Xxxxxx	predictive	High
12	XXX.XX.XXX.X/XX	Xxxxxx Xxxxxx	predictive	High
13	XXX.XX.XXX.X/XX	Xxxxxx Xxxxxx	predictive	High

TTP - Tactics, Techniques, Procedures (1)

Tactics, techniques, and procedures summarize the suspected MITRE ATT&CK techniques used. This data is unique as it uses our predictive model for actor profiling.

ID	Technique	Vulnerabilities	Access Vector	Type	Confidence
1	T1059.007	CWE-79	Cross Site Scripting	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	xxxxxxx_xxxxxxxxxxxx.xxx	predictive	High

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