BITTER is a suspected South Asian cyber espionage threat group that has been active since at least 2013. BITTER has targeted government, energy, and engineering organizations in Pakistan, China, Bangladesh, and Saudi Arabia.[1][2]
16
Techniques48th pct
7
Tactics39th pct
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.
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
Techniques1648th pct
48th percentile · 52% of 176 ATT&CK groups have more Enterprise techniques.
Tactics739th pct
39th percentile · 61% 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 / technique10medBottom 22%
22nd percentile · 78% of 176 ATT&CK groups have more detection rules per technique.
Tests / technique2.5med
BITTER detections G1002
526 distinct rules cover the 16 techniques recorded for this group. 319 Sigma · 207 Splunk.
15 covered by at least one rule1 with no coverage526 distinct rules in total
Showing 1-50 of 500+ rules
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MITRE ATT&CK
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Detects when a Microsoft Cloud App Security reported when users were active from an IP address that has been identified as an anonymous proxy IP address.
Detects when a Microsoft Cloud App Security reported when an activity occurs from a location that wasn't recently or never visited by any user in the organization.
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.
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 the creation of a batch file (.bat) within the Windows system directory tree, specifically in the System32 or SysWOW64 folders. (...)
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). (...)
This analytic detects unexpected outbound network connections initiated by known webserver processes such as `httpd.exe`, `nginx.exe`, or `tomcat.exe` to common file sharing or public content hosting services like GitHub, Discord CDN, Transfer.sh, or Pastebin. (...)
The following analytic detects file downloads involving executable, archive, or scripting-related file types that are commonly used in malware delivery. (...)
The following analytic detects the use of known suspicious SSL certificates in any observed event where the SSL_CertFingerprint field is present. (...)
Michael Haag, Nasreddine Bencherchali, Splunk, Talos NTDR
2025-07-17
2026-05-13
93db24a0-fd21-45d7-9daf-84afd5a8cca2
Splunk
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. (...)
This analytic identifies Snort intrusion signatures that have been triggered by ten or more distinct internal IP addresses within a one-hour window. (...)