Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1903334205840DD2701EB28C9B2635F2E72E64344DA220285FBFAD3F95BEBC6DD937195 |
|
CONTENT
ssdeep
|
384:NjQ0XJFHHnJFYHvDLuzn52r/s1l0xCU260cUgn+xLU+3cSGqxcAeSOSgf9:xFBJoLLuzP0c40cSxLH3JG9Vl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d69436408fd7aa72 |
|
VISUAL
aHash
|
0406873e7cf0c081 |
|
VISUAL
dHash
|
ec9c2f70d082082b |
|
VISUAL
wHash
|
064ed73f7cf0e081 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
ec9c2f70d082082b |
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 71 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.