Some versions of Chaes stored its instructions (otherwise in a instructions.ini file) in the Registry.2
tool
Chaes S0631
- Type
- malware
- Platform
- Windows
- Created
- 30 June 2021
- Last modified
- 16 April 2025
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]
Enterprise ATT&CK only. Any Mobile or ICS rows on the same ATT&CK page are not carried.
MITRE reference S0631
Chaes has collected the username and UID from the infected machine.3
Chaes has used an unsigned, crafted DLL module named hha.dll that was designed to look like a legitimate 32-bit Windows DLL.4
Chaes has exfiltrated its collected data from the infected machine to the C2, sometimes using the MIME protocol.5
Standing S0631
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
91st percentile · 91% of 825 ATT&CK software entries have this many Enterprise techniques or fewer.
98th percentile · 98% of 825 ATT&CK software entries have this many tactics spanned or fewer.
61% of the population shares a single value across only 22 distinct values, so a percentile here would rank the tie, not the entity.
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
48th percentile · 52% of 825 ATT&CK software entries have more detection rules per technique.
Detection coverage S0631
972 distinct rules cover the 28 techniques recorded for this tool. The 1053 technique-to-rule mappings resolve to 972 distinct rules, because one rule can cover several techniques. 649 Sigma · 323 Splunk.
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