Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1F274A8BA19617C1153D3E8D8213B35784BF29FC0850992D7F887782FE7DA4F325A91 |
|
CONTENT
ssdeep
|
768:msmAObE9FE9tkE92E9HE9wE9cE9eE9SE9JE98:msMwk9hWTDtVoy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcc7c330c33b4d34 |
|
VISUAL
aHash
|
ffff8385838387c7 |
|
VISUAL
dHash
|
2b27373b3f373f3f |
|
VISUAL
wHash
|
cfff838183818787 |
|
VISUAL
colorHash
|
06007000200 |
|
VISUAL
cropResistant
|
2b27373b3f373f3f,0040212525250000,0d11e7019937999d,3fad5f2b2f978b8f,f83c6f632923716c,650dffffffff1d1d |
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 41 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.