VDB-216956 · CVE-2018-25050 · ID 2997

Harvest Chosen up to 1.8.6 abstract-chosen.coffee AbstractChosen group_label cross site scripting

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	0.00

Overview

A vulnerability, which was classified as problematic, has been found in Harvest Chosen up to 1.8.6. Affected by this issue is the function AbstractChosen of the file coffee/lib/abstract-chosen.coffee. The manipulation of the argument group_label leads to cross site scripting. Using CWE to declare the problem leads to CWE-79. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. The weakness was released 12/28/2022 as 2997. The advisory is shared for download at github.com. This vulnerability is handled as CVE-2018-25050. The attack may be launched remotely. Technical details are available. There is no exploit available. The current price for an exploit might be approx. USD $0-$5k at the moment. The MITRE ATT&CK project declares the attack technique as T1059.007. It is declared as not defined. As 0-day the estimated underground price was around $0-$5k. Upgrading to version 1.8.7 is able to address this issue. The updated version is ready for download at github.com. The name of the patch is 77fd031d541e77510268d1041ed37798fdd1017e. The bugfix is ready for download at github.com. It is recommended to upgrade the affected component. A possible mitigation has been published even before and not after the disclosure of the vulnerability. [Details]

IOB - Indicator of Behavior (903)

Timeline

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Lang

en	854
de	10
it	8
es	8
sv	4

Country

us	132
gb	60
cn	24
de	18
it	12

Actors

RedLine Stealer	2
Naikon	2
Raccoon	1
Ave Maria	1
Loda	1

Activities

IOC - Indicator of Compromise (16)

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	2.58.56.0/24	Raccoon	predictive	High
2	3.70.127.0/24	Fodcha	predictive	High
3	X.XXX.XXX.X/XX	Xxxxx	predictive	High
4	XX.XX.XX.X/XX	Xxxxxxxxxx	predictive	High
5	XX.XXX.XXX.X/XX	Xxxxxx	predictive	High
6	XX.XXX.XXX.X/XX	Xxxxxx Xxxxxx	predictive	High
7	XX.XX.XXX.X/XX	Xxxxxxxx	predictive	High
8	XX.XX.XXX.X/XX	Xxxxxxx	predictive	High
9	XXX.XXX.XXX.X/XX	Xxxxxx	predictive	High
10	XXX.XX.XXX.X/XX	Xxxxxx Xxx	predictive	High
11	XXX.XXX.XXX.X/XX	Xxxxxx Xxxxxx	predictive	High
12	XXX.XXX.XXX.X/XX	Xxxxxxxxxxxxx	predictive	High
13	XXX.XXX.XXX.X/XX	Xxxxxxx	predictive	High
14	XXX.XX.XXX.X/XX	Xxxxxxxxx	predictive	High
15	XXX.XXX.XXX.X/XX	Xxxxxxxxx	predictive	High
16	XXX.XXX.XXX.X/XX	Xxxxxxx Xxxxxxx	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 (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	coffee/lib/abstract-chosen.coffee	predictive	High
2	Argument	xxxxx_xxxxx	predictive	Medium

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