Chaes is a multistage information stealer written in several programming languages that collects login credentials, credit card numbers, and other financial information. Chaes was first observed in 2020, and appears to primarily target victims in Brazil as well as other e-commerce customers in Latin America.[1]
28
TechniquesTop 9%
11
TacticsTop 2%
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.
Chaes has used cmd to execute tasks on the system.7
Execution63 detection rules
Standing S0631
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
Techniques28Top 9%
91st percentile · 91% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
Tactics11Top 2%
98th percentile · 98% 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 / technique19.5med43rd pct
43rd percentile · 57% of 825 ATT&CK software entries have more detection rules per technique.
Tests / technique5med
Chaes detections S0631
987 distinct rules cover the 28 techniques recorded for this malware. 654 Sigma · 333 Splunk.
28 covered by at least one rule987 distinct rules in total
Showing 1-50 of 900+ rules
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Detects file access requests to files ending with either the ".hive"/".reg" extension, usually associated with Windows Registry backups.
Detects when a Microsoft Cloud App Security reported when users were active from an IP address that has been identified as an anonymous proxy IP address.
Detects when a Microsoft Cloud App Security reported when an activity occurs from a location that wasn't recently or never visited by any user in the organization.
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.
The following analytic identifies an AWS IAM account with concurrent sessions originating from more than one unique IP address within a 5-minute span. (...)
The following analytic detects the execution of tools commonly exploited by cybercriminals, such as those used for unauthorized access, network scanning, privilege escalation, password dumping or data exfiltration. (...)
The following analytic identifies an AWS IAM account with concurrent sessions originating from more than one unique IP address within a 5-minute window. (...)
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 an Azure AD account with concurrent sessions originating from multiple unique IP addresses within a 5-minute window. (...)
The following analytic detects the creation of a batch file (.bat) within the Windows system directory tree, specifically in the System32 or SysWOW64 folders. (...)
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. (...)
Adversaries may communicate using application layer protocols associated with web traffic to avoid detection/network filtering by blending in with existing traffic. (...)
The following analytic identifies the execution of the "whoami" command with the "/group" flag, where the results are passed to the "find" command in order to look for a the string "12288". (...)