NOOPLDR can discover the device ID and hostname from the targeted machine to use for encryption keys.9
Discovery54 detection rules
Standing S9025
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
Techniques1254th pct
54th percentile · 54% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics653rd pct
53rd percentile · 53% of 825 ATT&CK software entries have this many tactics spanned or fewer.
Threat group161% 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 / technique25med61st pct
61st percentile · 61% of 825 ATT&CK software entries have this many detection rules per technique or fewer.
Tests / technique9med
NOOPLDR detections S9025
598 distinct rules cover the 12 techniques recorded for this malware. 416 Sigma · 182 Splunk.
11 covered by at least one rule1 with no coverage598 distinct rules in total
Showing 1-50 of 500+ rules
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MITRE ATT&CK
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Detects file access requests to files ending with either the ".hive"/".reg" extension, usually associated with Windows Registry backups.
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 .
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. (...)
The following analytic detects the use of CertUtil.exe with the 'decode' argument, which may indicate an attempt to decode a previously encoded file, potentially containing malicious payloads. (...)
This analytic detects potential reconnaissance activities on Cisco ASA devices by identifying execution of multiple information-gathering "show" commands within a short timeframe. (...)
This analytic detects system binaries that are commonly abused in process injection techniques but are observed without any command-line arguments. (...)
The following analytic detects potential reverse shell activity by identifying connections involving ports commonly associated with remote access tools, shell listeners, or tunneling utilities. (...)
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 suspicious process injection in command shell applications, specifically targeting `cmd.exe` and `powershell.exe`. (...)
Detects creation of specific system DLL files that are usually not present on the system (or at least not in system directories) but may be loaded by legitimate processes. (...)