Tenda AC10 16.03.10.13/16.03.10.20 /goform/SetSysTimeCfg fromSetSysTime timeZone stack-based overflow

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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8.9$0-$5k0.00

Overview

A vulnerability, which was classified as critical, has been found in Tenda AC10 16.03.10.13/16.03.10.20. Affected by this issue is the function fromSetSysTime of the file /goform/SetSysTimeCfg. The manipulation of the argument timeZone leads to stack-based buffer overflow. Using CWE to declare the problem leads to CWE-121. The weakness was published 03/23/2024. The advisory is shared for download at github.com. This vulnerability is handled as CVE-2024-2856. The attack may be launched remotely. Technical details are available. Furthermore, there is an exploit available. The exploit has been disclosed to the public and may be used. The current price for an exploit might be approx. USD $0-$5k at the moment. It is declared as Proof-of-Concept. The exploit is available at github.com. As 0-day the estimated underground price was around $0-$5k. The vendor was contacted early about this disclosure but did not respond in any way. [Details]

IOB - Indicator of Behavior (325)

Timeline

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Language

en256
pl10
it10
es8
ja8

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Country

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Activities

IOC - Indicator of Compromise (7)

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

IDIP rangeActorTypeConfidence
118.191.5.0/24Cobalt StrikepredictiveHigh
2XX.XX.XXX.X/XXXxxxxx XxxxxxxpredictiveHigh
3XX.X.XXX.X/XXXxxxxx XxxxxxpredictiveHigh
4XX.XX.XXX.X/XXXxxxxxxxpredictiveHigh
5XX.XXX.XX.X/XXXxxxxxpredictiveHigh
6XXX.XX.XX.X/XXXxxxxpredictiveHigh
7XXX.XXX.XX.X/XXXxxxxx Xxxxxx Xx XxxxxxxpredictiveHigh

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.

IDClassIndicatorTypeConfidence
1File/goform/SetSysTimeCfgverifiedHigh
2ArgumentxxxxxxxxverifiedMedium

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