RedEcho is a People’s Republic of China-related threat actor associated with long-running intrusions in Indian critical infrastructure entities. RedEcho overlaps with various other PRC-linked threat groups, such as APT41, and is linked to ShadowPad malware use through shared infrastructure.[1][2]
5
TechniquesBottom 16%
2
TacticsBottom 10%
1
Tool or malwareBottom 23%
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
RedEcho has registered domains spoofing Indian critical infrastructure entities.7
Resource Developmentno detection rules
Standing G1042
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
Techniques5Bottom 16%
16th percentile · 84% of 176 ATT&CK groups have more Enterprise techniques.
Tactics2Bottom 10%
10th percentile · 90% of 176 ATT&CK groups have more tactics spanned.
Tool or malware1Bottom 23%
23rd percentile · 77% of 176 ATT&CK groups have more tools and malware.
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 / technique5medBottom 13%
13th percentile · 87% of 176 ATT&CK groups have more detection rules per technique.
Tests / technique0medBottom 16%
16th percentile · 84% of 176 ATT&CK groups have more atomic tests per technique.
Data comps / technique5med65% 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 5 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
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 the usage of the Utility osascript on a macOS device initiated a network connection lasting longer than 10 minutes (600 seconds). (...)
The following analytic detects the use of known suspicious SSL certificates in any observed event where the SSL_CertFingerprint field is present. (...)
The following analytic detects potential reverse shell activity by identifying connections involving ports commonly associated with remote access tools, shell listeners, or tunneling utilities. (...)
The following analytic detects connections with a high Encrypted Visibility Engine (EVE) threat confidence score, indicating potentially malicious behavior within encrypted traffic. (...)
HTTP request smuggling is a technique for interfering with the way a web site processes sequences of HTTP requests that are received from one or more users. (...)
The following analytic detects HTTP POST requests containing heavily encoded data in the post body, specifically looking for sequences of hex-encoded bytes or base64-encoded strings. (...)
This detection identifies rapid-fire POST request attacks where an attacker sends more than 20 POST requests within a 5-second window, potentially attempting to exploit race conditions or overwhelm request handling. (...)
Detects attempts to exploit a request smuggling technique against IIS that leverages a Windows quirk where requests for reserved Windows device names such as "/con" trigger an early server response before the request body is received. (...)
This Splunk query analyzes web logs to identify and categorize user agents, detecting various types of Remote Monitoring and Mangement applications. (...)
This Splunk query analyzes web access logs to identify and categorize non-browser user agents, detecting various types of security tools, scripting languages, automation frameworks, and suspicious patterns. (...)