APT18 · TG-0416 · Dynamite Panda · Threat Group-0416
APT18 is a threat group that has operated since at least 2009 and has targeted a range of industries, including technology, manufacturing, human rights groups, government, and medical. [1]
12
Techniques39th pct
7
Tactics39th pct
5
Tools & malware60th pct
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
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
Techniques1239th pct
39th percentile · 61% of 176 ATT&CK groups have more Enterprise techniques.
Tactics739th pct
39th percentile · 61% of 176 ATT&CK groups have more tactics spanned.
Tools & malware560th pct
60th percentile · 60% of 176 ATT&CK groups have this many tools and malware or fewer.
Campaigns089% 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 / technique50medTop 8%
92nd percentile · 92% of 176 ATT&CK groups have this many detection rules per technique or fewer.
Tests / technique5med
APT18 detections G0026
588 distinct rules cover the 12 techniques recorded for this group. 386 Sigma · 202 Splunk.
12 covered by at least one rule588 distinct rules in total
Showing 1-50 of 500+ rules
Drag headers to reorder | Drag edges to resize
Select
Title
Description
Category
Status
Event
OS
Product
MITRE ATT&CK
CVEs
Severity
Author
Created
Updated
ID
Refs
Detects accounts that are created or deleted by non-approved users.
Mark Morowczynski '@markmorow', MikeDuddington, '@dudders1', Tim Shelton
2022-08-11
2022-08-18
6f583da0-3a90-4566-a4ed-83c09fe18bbf
This method uses uncommon error codes on failed logons to determine suspicious activity and tampering with accounts that have been disabled or somehow restricted.
Mark Morowczynski '@markmorow', Bailey Bercik '@baileybercik'
2022-06-01
—
248649b7-d64f-46f0-9fb2-a52774166fb5
Resource owner password credentials (ROPC) should be avoided if at all possible as this requires the user to expose their current password credentials to the application directly. (...)
Mark Morowczynski '@markmorow', Bailey Bercik '@baileybercik'
2022-06-01
—
55695bc0-c8cf-461f-a379-2535f563c854
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.
Identifies two sign-ins originating from geographically distant locations, where at least one of the locations may also be atypical for the user, given past behavior.
Detects the Linux-specific execution chain of the plain-crypto-js malicious npm dependency by Axios NPM package, including payload download via curl and detached execution using nohup and python3. (...)
Detects the macOS-specific execution chain of the plain-crypto-js malicious npm dependency in Axios NPM Package, including AppleScript execution via osascript, payload download, permission modification, execution, and cleanup.
The following analytic detects unusual authentication activity in Azure AD, specifically when a single user account has over 8 authentication attempts using 3+ unique application IDs and 5+ unique user agents within a short period. (...)
Detects a successful login to the Microsoft Intune Company Portal which could allow bypassing Conditional Access Policies and InTune device trust using a tool like TokenSmith.
Adversaries may communicate using application layer protocols associated with web traffic to avoid detection/network filtering by blending in with existing traffic. (...)
This analytic detects potential reconnaissance activities on Cisco ASA devices by identifying execution of multiple information-gathering "show" commands within a short timeframe. (...)