Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5A37D7036546A771AF783E3B0CB6A05A16D872BC80F4D607244ED5A33DDCE298A3BD5 |
|
CONTENT
ssdeep
|
3072:ZdDGRUhtQZZZpZxZvZlZUZPZ5OGJ1UAxVz5z4I7:+DTf1na53VzN42 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca82b5b6f6a0a2ea |
|
VISUAL
aHash
|
ff38383838383838 |
|
VISUAL
dHash
|
e5f1f1f171317070 |
|
VISUAL
wHash
|
ff3c383838383c3c |
|
VISUAL
colorHash
|
02000038000 |
|
VISUAL
cropResistant
|
e5f1f1f171317070 |
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 15 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.