Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159E32A343204793E666383F5F0A5771A727D930AD90F8C14B3A8D4B677ADCCA942BAD4 |
|
CONTENT
ssdeep
|
1536:pcgdR9wkV9EInacl/3SFQPWlUuRNka2wblHbJLwLIz9GguGOjjRnY:ptacl/3SFemrX2wd9W/guGO+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b4564599b939966 |
|
VISUAL
aHash
|
00003c3c3c1c0001 |
|
VISUAL
dHash
|
1284e8f9f9d1648d |
|
VISUAL
wHash
|
02147e7e7e7c0e07 |
|
VISUAL
colorHash
|
380000004c0 |
|
VISUAL
cropResistant
|
1284e8f9f9d1648d |
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.