Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B0A2933023512A7F82674FF2B0B1A775A0FA978ED557D42CB2BC42A61BCBC90D947712 |
|
CONTENT
ssdeep
|
384:90fke8Z9ZQBZ3ZTZ7uJOZ/mQMMYai5xP1cZb4MH:9g/8Z9ZQBZ3ZTZ7u+zB4MH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6c9293c9e21e69 |
|
VISUAL
aHash
|
ffd191d1d19fffff |
|
VISUAL
dHash
|
3b2727272333cd22 |
|
VISUAL
wHash
|
d9919191819bc3fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
3b2727272333cd22,7f6859ddc9590141 |
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 24 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.