Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5137531A504513713339AC9B2B1EF4DE6C3AA4FCE039461E6FD97C94BD5EA18812C6B |
|
CONTENT
ssdeep
|
384:YHmVsTmhglAS9YIKxi0m+9MYQoYQwsPSRSIoDkjhtOpx:+Iq2S9YIKxi0m+GYQoYQwsq8IoDqjOpx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
807f7d2a2f752524 |
|
VISUAL
aHash
|
00407e7e7f7f7e7e |
|
VISUAL
dHash
|
22a8a2a28594a2a2 |
|
VISUAL
wHash
|
00005a7e7f7f507e |
|
VISUAL
colorHash
|
06007000000 |
|
VISUAL
cropResistant
|
22a8a2a28594a2a2 |
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 71 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.