Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F1832921E1014A382B7787F0F55AA54FE3469C0BFB5128B1F8AA63AB5447B60CBBB115 |
|
CONTENT
ssdeep
|
1536:6SY9rS5nC/GvpnTnkxMlvEIBbJk8emU7LIAMNaV5kPDnB66yuduo5IbYFbWt5FNs:62h66yuduVbYFbg5FNqUX0EX0bYDpHbO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6c331919664eee |
|
VISUAL
aHash
|
00ffffffffffff00 |
|
VISUAL
dHash
|
1010202030301048 |
|
VISUAL
wHash
|
000c3c3cfcfcfb00 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
1010202030301048 |
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 802 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.