Kessel is an advanced version of OpenSSH which acts as a custom backdoor, mainly acting to steal credentials and function as a bot. Kessel has been active since its C2 domain began resolving in August 2018.[1]
14
Techniques61st pct
9
TacticsTop 11%
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.
Kessel can create a reverse shell between the infected host and a specified system.7
Execution148 detection rules
Standing S0487
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
Techniques1461st pct
61st percentile · 61% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics9Top 11%
89th percentile · 89% 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 / technique22.5med54th pct
54th percentile · 54% of 825 ATT&CK software entries have this many detection rules per technique or fewer.
Tests / technique2.5med
Kessel detections S0487
487 distinct rules cover the 14 techniques recorded for this malware. 320 Sigma · 167 Splunk.
14 covered by at least one rule487 distinct rules in total
Showing 1-50 of 400+ rules
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Title
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MITRE ATT&CK
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Updated
ID
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Detects potential DLL sideloading of DLLs that are known to be abused from suspicious locations
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 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. (...)
The following analytic identifies instances where a Duo admin logs in using a browser other than Chrome, which is considered unusual based on typical access patterns. (...)
The following analytic detects instances where a Duo admin login originates from a country outside of the United States, which may indicate suspicious or unauthorized access attempts. (...)
The following analytic identifies Duo admin login attempts from operating systems that are unusual for your environment, excluding commonly used OS such as Mac OS X. (...)
The following analytic detects when a Duo user generates a bypass code, which allows them to circumvent multi-factor authentication (2FA) protections. (...)
The following analytic identifies instances where a Duo administrator creates or updates a policy to allow the use of outdated Flash components, specifically by detecting policy changes with the flash_remediation=no remediation attribute. (...)
The following analytic identifies instances where a Duo administrator creates or updates a policy to explicitly deny user access within the Duo environment. (...)
This analytic detects creation of a Cisco IOS-XE tunnel interface with tunnel source, tunnel destination, and an IP address in the 10.10.12.0 network. (...)
This analytic detects the creation or modification of network interfaces on Cisco devices, which could indicate an attacker establishing persistence or preparing for lateral movement. (...)