APT5 is a China-based espionage actor that has been active since at least 2007 primarily targeting the telecommunications, aerospace, and defense industries throughout the U.S., Europe, and Asia. APT5 has displayed advanced tradecraft and significant interest in compromising networking devices and their underlying software including through the use of zero-day exploits.[1][2][3][4][5][6]
29
Techniques65th pct
11
Tactics66th pct
13
Tools & malwareTop 14%
1
Campaignunranked
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
APT5 has used the Task Manager process to target LSASS process memory in order to obtain NTLM password hashes. APT5 has also dumped clear text passwords and hashes from memory using Mimikatz hosted through an RDP mapped drive.7
APT5 has used the BLOODMINE utility to collect data on web requests from Pulse Secure Connect logs.12
Discovery17 detection rules
Standing G1023
Reach is how much of ATT&CK this group touches. Coverage is how well defended each thing it does is, as a median per technique rather than a total — a total would just restate the reach. Each figure is ranked against all 176 ATT&CK groups only where that population actually spreads. Where most of the population shares one value, a percentile would rank the tie instead of the entity, so the raw value is shown and no rank is claimed.
Reach
Techniques2965th pct
65th percentile · 65% of 176 ATT&CK groups have this many Enterprise techniques or fewer.
Tactics1166th pct
66th percentile · 66% of 176 ATT&CK groups have this many tactics spanned or fewer.
Tools & malware13Top 14%
86th percentile · 86% of 176 ATT&CK groups have this many tools and malware or fewer.
Campaign189% tie · 4 values
89% of the population shares a single value across only 4 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique28med70th pct
70th percentile · 70% of 176 ATT&CK groups have this many detection rules per technique or fewer.
Tests / technique6medTop 16%
84th percentile · 84% of 176 ATT&CK groups have this many atomic tests per technique or fewer.
Data comps / technique4med65% tie · 12 values
65% of the population shares a single value across only 12 distinct values, so a percentile here would rank the tie, not the entity.
Mitigations / technique2med43% tie · 11 values
43% of the population shares a single value across only 11 distinct values, so a percentile here would rank the tie, not the entity.
5 of 8 axes carry an honest rank on this page. Coverage medians are taken across this group’s 29 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
The following analytic identifies access to the /api/v1/configuration/users/user-roles/user-role/rest-userrole1/web/web-bookmarks/bookmark endpoint, which is associated with CVE-2023-46805 and CVE-2024-21887 vulnerabilities. (...)
The following analytic detects potential exploitation of the Adobe ColdFusion vulnerability, CVE-2023-26360, which allows unauthenticated arbitrary file read. (...)
Tobias Michalski (Nextron Systems), Max Altgelt (Nextron Systems)
2021-09-20
2023-01-02
6702b13c-e421-44cc-ab33-42cc25570f11
Splunk
The following analytic detects suspicious modifications to firewall rule registry settings that allow inbound traffic on specific ports with a public profile. (...)
Detects the suspicious file that is created from PoC code against Windows Print Spooler Remote Code Execution Vulnerability CVE-2021-34527 (PrinterNightmare), CVE-2021-1675 .
Mark Morowczynski '@markmorow', Bailey Bercik '@baileybercik'
2022-06-02
—
0055ad1f-be85-4798-83cf-a6da17c993b3
Detects when AppLocker "Audit only" enforcement mode reports that an Application, DLL, Script, MSI, or Packaged-App would have been blocked if AppLocker "Enforce rules" enforcement mode was enabled.
The following analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, privilege escalation, password dumping or data exfiltration. (...)
This search surfaces AWS Bedrock Claude prompts containing phrases commonly associated with prompt injection or jailbreak attempts, such as instruction overrides, persona switching, or requests to ignore prior guidance. (...)
This detection identifies sensitive data such as social security numbers, passwords, API keys, and credit card numbers being sent in prompts to AWS Bedrock Claude models. (...)
This detection identifies unusually large prompts sent to AWS Bedrock Claude models by calculating the statistical baseline of input token counts and flagging requests that exceed one standard deviations above the mean. (...)