KBase Metrics methods_upload_user_stats.py upload_user_data sql injection

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.
6.9$0-$5k0.12

Overview

A vulnerability was found in KBase Metrics. It has been classified as critical. This affects the function upload_user_data of the file source/daily_cron_jobs/methods_upload_user_stats.py. The manipulation leads to sql injection. The CWE definition for the vulnerability is CWE-89. The weakness was shared 12/30/2022 as 77. It is possible to read the advisory at github.com. This vulnerability is uniquely identified as CVE-2022-4860. The attack needs to be done within the local network. 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 T1505 according to MITRE ATT&CK. It is declared as not defined. We expect the 0-day to have been worth approximately $0-$5k. The patch is named 959dfb6b05991e30b0fa972a1ecdcaae8e1dae6d. The bugfix is ready for download at github.com. It is recommended to apply a patch to fix this issue. A possible mitigation has been published even before and not after the disclosure of the vulnerability. [Details]

IOB - Indicator of Behavior (763)

Timeline

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Lang

en722
zh18
de10
it6
ko2

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Country

us148
gb58
cn48
au14
de14

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 (12)

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

IDIP rangeActorTypeConfidence
165.19.141.0/24CarbanakpredictiveHigh
268.66.216.0/24PowloadpredictiveHigh
3XXX.XX.XXX.X/XXXxxxxxx XxxxxxxpredictiveHigh
4XXX.XX.XXX.X/XXXxxxxx XxxpredictiveHigh
5XXX.XX.XX.X/XXXxxxxxpredictiveHigh
6XXX.XXX.XXX.X/XXXxxxpredictiveHigh
7XXX.XX.XX.X/XXXxxxxxxxxpredictiveHigh
8XXX.XXX.XXX.X/XXXxxxxxxpredictiveHigh
9XXX.XXX.XXX.X/XXXxxxpredictiveHigh
10XXX.XXX.XXX.X/XXXxxxx XxxxxxxpredictiveHigh
11XXX.XXX.XXX.X/XXXxxxxxx XxxxxpredictiveHigh
12XXX.XXX.XX.X/XXXxxxxpredictiveHigh

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.

IDTechniqueVulnerabilitiesAccess VectorTypeConfidence
1T1505CWE-89SQL InjectionpredictiveHigh

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
1Filexxxxxx/xxxxx_xxxx_xxxx/xxxxxxx_xxxxxx_xxxx_xxxxx.xxpredictiveHigh

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