Shamoon is wiper malware that was first used by an Iranian group known as the "Cutting Sword of Justice" in 2012. Other versions known as Shamoon 2 and Shamoon 3 were observed in 2016 and 2018. Shamoon has also been seen leveraging RawDisk and Filerase to carry out data wiping tasks. Analysis has linked Shamoon with Kwampirs based on multiple shared artifacts and coding patterns.[1] The term Shamoon is sometimes used to refer to the group using the malware as well as the malware itself.[2][3][4][5]
24
TechniquesTop 13%
10
TacticsTop 6%
0
Threat groupsNone recorded
0
CampaignsNone recorded
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
Shamoon accesses network share(s), enables share access to the target device, copies an executable payload to the target system, and uses a Scheduled Task/Job to execute the malware.10
Shamoon creates a new service named “ntssrv” that attempts to appear legitimate; the service's display name is “Microsoft Network Realtime Inspection Service” and its description is “Helps guard against time change attempts targeting known and newly discovered vulnerabilities in network time protocols.” Newer versions create the "MaintenaceSrv" service, which misspells the word "maintenance."1213
Stealth4 detection rules
Standing S0140
Reach is how much of ATT&CK this malware 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 825 ATT&CK software entries 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
Techniques24Top 13%
87th percentile · 87% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics10Top 6%
94th percentile · 94% of 825 ATT&CK software entries have this many tactics spanned or fewer.
Threat groups061% tie · 22 values
61% of the population shares a single value across only 22 distinct values, so a percentile here would rank the tie, not the entity.
Campaigns085% tie · 8 values
85% of the population shares a single value across only 8 distinct values, so a percentile here would rank the tie, not the entity.
Coverage
Rules / technique33medTop 20%
80th percentile · 80% of 825 ATT&CK software entries have this many detection rules per technique or fewer.
Tests / technique9medTop 19%
81st percentile · 81% of 825 ATT&CK software entries have this many atomic tests per technique or fewer.
Data comps / technique4.5med54% tie · 11 values
54% of the population shares a single value across only 11 distinct values, so a percentile here would rank the tie, not the entity.
Mitigations / technique2medTop 9%
91st percentile · 91% of 825 ATT&CK software entries have this many mitigations per technique or fewer.
5 of 8 axes carry an honest rank on this page. Coverage medians are taken across this malware’s 24 Enterprise techniques.
Range
Technique Campaign use over its cumulative rule count.
The following analytic identifies attempts to delete AWS Bedrock Knowledge Bases, which are resources that store and manage domain-specific information for AI models. (...)
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 detection uses Windows security events to detect suspicious access attempts to the registry key values and sub-keys of Azure AD Health service agents (e.g AD FS). (...)