Sliver is an open source, cross-platform, red team command and control (C2) framework written in Golang. Sliver includes its own package manager, "armory," for staging and downloading additional tools and payloads to the primary C2 framework.[1][2]
23
TechniquesTop 15%
8
TacticsTop 20%
3
Threat groupsunranked
1
Campaignunranked
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
Sliver obfuscates configuration and other static files using native Go libraries such as garble and gobfuscate to inhibit configuration analysis and static detection.6
Reach is how much of ATT&CK this tool 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
Techniques23Top 15%
85th percentile · 85% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics8Top 20%
80th percentile · 80% of 825 ATT&CK software entries have this many tactics spanned or fewer.
Threat groups361% 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.
Campaign185% 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 / technique16med38th pct
38th percentile · 62% of 825 ATT&CK software entries have more detection rules per technique.
Tests / technique4med
Sliver detections S0633
901 distinct rules cover the 23 techniques recorded for this tool. 657 Sigma · 244 Splunk.
21 covered by at least one rule2 with no coverage901 distinct rules in total
Showing 1-50 of 900+ rules
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MITRE ATT&CK
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Splunk
The following analytic detects attempts to dump the LSASS process memory, a common technique in credential dumping attacks. (...)
Detects the suspicious file that is created from PoC code against Windows Print Spooler Remote Code Execution Vulnerability CVE-2021-34527 (PrinterNightmare), CVE-2021-1675 .
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.
This search surfaces AWS Bedrock Claude prompts containing phrases commonly associated with prompt injection or jailbreak attempts, such as instruction overrides, persona switching, or requests to ignore prior guidance. (...)
This detection identifies sensitive data such as social security numbers, passwords, API keys, and credit card numbers being sent in prompts to AWS Bedrock Claude models. (...)
This detection identifies unusually large prompts sent to AWS Bedrock Claude models by calculating the statistical baseline of input token counts and flagging requests that exceed one standard deviations above the mean. (...)
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.
Adversaries may communicate using application layer protocols associated with web traffic to avoid detection/network filtering by blending in with existing traffic. (...)