VDB-220059 · CVE-2019-25101 · ID 18

OnShift TurboGears 1.0.11.10 HTTP Header controllers.py response splitting

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.
7.4	$0-$5k	0.06

Overview

A vulnerability classified as critical has been found in OnShift TurboGears 1.0.11.10. This affects an unknown part of the file turbogears/controllers.py of the component HTTP Header Handler. The manipulation leads to http response splitting. The CWE definition for the vulnerability is CWE-113. The weakness was shared 02/02/2023 as 18. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2019-25101. It is possible to initiate the attack remotely. Technical details are available. There is no exploit available. The pricing for an exploit might be around USD $0-$5k at the moment. It is declared as not defined. We expect the 0-day to have been worth approximately $0-$5k. Upgrading to version 1.0.11.11 is able to address this issue. The updated version is ready for download at github.com. The patch is named f68bbaba47f4474e1da553aa51564a73e1d92a84. 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 (870)

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	856
de	4
zh	2
es	2
ar	2

Country

us	76
gb	40
de	20
cn	16
nl	10

Actors

Mirai	2
Tofsee	2
Conti	1
RedLine Stealer	1
Powload	1

Activities

IOC - Indicator of Compromise (17)

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	18.208.157.0/24	Cobalt Strike	predictive	High
3	XX.XXX.XXX.X/XX	Xxxxxxx	predictive	High
4	XX.XX.XXX.X/XX	Xxxxxxxx	predictive	High
5	XX.XX.XXX.X/XX	Xxxxxxx	predictive	High
6	XXX.XX.XX.X/XX	Xxxxxx	predictive	High
7	XXX.XX.XX.X/XX	Xxxxxx	predictive	High
8	XXX.XXX.XXX.X/XX	Xxxxx	predictive	High
9	XXX.XXX.XXX.X/XX	Xxxxxxx Xxxxxxx	predictive	High
10	XXX.XX.XXX.X/XX	Xxxxxxx	predictive	High
11	XXX.XXX.XXX.X/XX	Xxxxx	predictive	High
12	XXX.XXX.XXX.X/XX	Xxxxxxx	predictive	High
13	XXX.XXX.XXX.X/XX	Xxxxxx	predictive	High
14	XXX.XXX.XXX.X/XX	Xxxxxxxxx	predictive	High
15	XXX.XXX.XX.X/XX	Xxxxx	predictive	High
16	XXX.XXX.XX.X/XX	Xxxxx	predictive	High
17	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	xxxxxxxxxx/xxxxxxxxxxx.xx	predictive	High

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