Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA92B5FF45A2A53BD19FE78B9422961D8293909BED990464B1F043AC0FCEE06780F137 |
|
CONTENT
ssdeep
|
192:zh1z/SGY6rhQztkKeOVgUk2KnEA3hnXDGheItTVMkHLTJaGzXW5HWHtZJQHqHMHo:bz/yCha1gl2Q4fMiJzJQVo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8d94e49b99ac692 |
|
VISUAL
aHash
|
dbdfffcfcf000000 |
|
VISUAL
dHash
|
3392ac989a26b426 |
|
VISUAL
wHash
|
dbdfdfcfcf000000 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
3392ac989a26b426 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.