DeepFaceLab pretrained DF.wf.288res.384.92.72.22 main.py apply_xseg deserialization

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.
4.6$0-$5k0.28

Overview

A vulnerability was found in DeepFaceLab pretrained DF.wf.288res.384.92.72.22 and classified as problematic. This issue affects the function apply_xseg of the file main.py. The manipulation leads to deserialization. The CWE definition for the vulnerability is CWE-502. NOTE: This vulnerability only affects products that are no longer supported by the maintainer. The weakness was released 02/10/2024. It is possible to read the advisory at github.com. The identification of this vulnerability is CVE-2024-1432. The attack may be initiated 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 available at github.com. We expect the 0-day to have been worth approximately $0-$5k. A possible mitigation has been published before and not just after the disclosure of the vulnerability. [Details]

IOB - Indicator of Behavior (862)

Timeline

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Lang

en794
de16
fr16
ja8
zh8

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Country

us60
gb42
fr18
de14
it14

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.

Actors

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Activities

IOC - Indicator of Compromise (15)

These indicators of compromise highlight associated network ranges which are known to be part of research and attack activities.

IDIP rangeActorTypeConfidence
113.113.191.0/24Cobalt StrikepredictiveHigh
254.213.123.0/24DealplypredictiveHigh
3XX.XXX.XXX.X/XXXxxxxpredictiveHigh
4XXX.XXX.XXX.X/XXXxxxxpredictiveHigh
5XXX.XXX.XX.X/XXXxxxxpredictiveHigh
6XXX.XXX.XXX.X/XXXxxxxxxxxxxxpredictiveHigh
7XXX.XXX.XX.X/XXXxxxxx XxxxxxpredictiveHigh
8XXX.XX.XX.X/XXXxxxxxx XxxxxxpredictiveHigh
9XXX.XX.XXX.X/XXXxxxxxpredictiveHigh
10XXX.XX.XXX.X/XXXxxxxxxxxpredictiveHigh
11XXX.XXX.XXX.X/XXXxxxx XxxxxxxpredictiveHigh
12XXX.XX.XXX.X/XXXxxxxxpredictiveHigh
13XXX.XX.XXX.X/XXXxxxxx XxxpredictiveHigh
14XXX.XXX.XXX.X/XXXxxxxxx XxxxxxxpredictiveHigh
15XXX.XXX.XXX.X/XXXxxxxpredictiveHigh

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.

IDClassIndicatorTypeConfidence
1Filexxxx.xxpredictiveLow

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