C0010 was a cyber espionage campaign conducted by UNC3890 that targeted Israeli shipping, government, aviation, energy, and healthcare organizations. Security researcher assess UNC3890 conducts operations in support of Iranian interests, and noted several limited technical connections to Iran, including PDB strings and Farsi language artifacts. C0010 began by at least late 2020, and was still ongoing as of mid-2022.[1]
9
TechniquesBottom 23%
3
TacticsBottom 13%
2
Tools & malware63rd pct
0
Threat groupsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
During C0010, UNC3890 actors likely established a watering hole that was hosted on a login page of a legitimate Israeli shipping company that was active until at least November 2021.3
For C0010, UNC3890 actors established domains that appeared to be legitimate services and entities, such as LinkedIn, Facebook, Office 365, and Pfizer.4
For C0010, UNC3890 actors obtained multiple publicly-available tools, including METASPLOIT, UNICORN, and NorthStar C2.7
Resource Development12 detection rules
Standing C0010
Reach is how much of ATT&CK this campaign 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 56 ATT&CK campaigns 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
Techniques9Bottom 23%
23rd percentile · 77% of 56 ATT&CK campaigns have more Enterprise techniques.
Tactics3Bottom 13%
13th percentile · 87% of 56 ATT&CK campaigns have more tactics spanned.
Tools & malware263rd pct
63rd percentile · 63% of 56 ATT&CK campaigns have this many tools and malware or fewer.
Threat groups055% tie · 3 values
55% of the population shares a single value across only 3 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique1medBottom 5%
5th percentile · 95% of 56 ATT&CK campaigns have more detection rules per technique.
Tests / technique0medBottom 23%
23rd percentile · 77% of 56 ATT&CK campaigns have more atomic tests per technique.
Data comps / technique2med43% tie · 7 values
43% of the population shares a single value across only 7 distinct values, so a percentile here would rank the tie, not the entity.
Mitigations / technique1med38th pct
38th percentile · 62% of 56 ATT&CK campaigns have more mitigations per technique.
6 of 8 axes carry an honest rank on this page. Coverage medians are taken across this campaign’s 9 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
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.
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 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. (...)
The following analytic detects the execution of the curl utility where the command line includes percent-encoded characters and explicit file output options (such as -o or --output). (...)
The following analytic detects the use of download or file reading utilities from Windows, Linux or MacOS to download or read the contents of a file from a remote or local source and pipe it directly to a shell for execution. (...)