GNU cflow 1.7 parser.c func_body/parse_variable_declaration denial of service

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 (≈)
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CTI Interest Score
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4.7$0-$5k0.07

Overview

A vulnerability was found in GNU cflow 1.7. It has been rated as problematic. This issue affects the function func_body/parse_variable_declaration of the file parser.c. The manipulation leads to denial of service. The CWE definition for the vulnerability is CWE-404. The weakness was presented 05/18/2023. The advisory is shared at github.com. The identification of this vulnerability is CVE-2023-2789. The attack needs to be initiated within the local network. Technical details are available. Furthermore, there is an exploit available. The exploit has been disclosed to the public and may be used. The price 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. The vendor was contacted early about this disclosure but did not respond in any way. A possible mitigation has been published before and not just after the disclosure of the vulnerability. [Details]

IOB - Indicator of Behavior (319)

Timeline

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Lang

en282
de18
ar4
pl4
pt4

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Country

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Actors

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Activities

IOC - Indicator of Compromise (5)

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

IDIP rangeActorTypeConfidence
146.3.240.0/24Cobalt StrikepredictiveHigh
2XX.XX.XXX.X/XXXxxxxxxxpredictiveHigh
3XX.XX.XX.X/XXXxxxxxx XxxpredictiveHigh
4XXX.XXX.XXX.X/XXXxxxxxxxxxxxxxxpredictiveHigh
5XXX.XXX.XX.X/XXXxxxpredictiveHigh

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.xverifiedMedium

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