Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E1366709025AD370647A1D2A3356B0EA3F2C3C6C9935BD5B2F8870D9FD2DA1DE53628 |
|
CONTENT
ssdeep
|
768:pmGzj+uZJju2R44fD8oSZAYwPhKz3J+FDegaOCd6Ls2w1JnFZUqU3WF:L+uZII44fD8oSZAYwPhKKDegaOU6Ls2I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88d7b075ae572354 |
|
VISUAL
aHash
|
7e3c3c3c1800004f |
|
VISUAL
dHash
|
d0f07071b0aab4bf |
|
VISUAL
wHash
|
7e7e3c3c3c1000df |
|
VISUAL
colorHash
|
30006000040 |
|
VISUAL
cropResistant
|
d0f07071b0aab4bf |
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 94 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.