Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1146135350020986FE653CAB0B455BA4497EAF30EC9579D54A37893AF3AE1FD1C723522 |
|
CONTENT
ssdeep
|
48:TGiNdX0xetRhhal5r5HZVgZa9Q1/ZuFS9YFY3Lg2YY3uoWDJ:TGeh+ZVgZa9Qvu6na9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c9c6363c9d83273 |
|
VISUAL
aHash
|
941f1f1f0000e0e0 |
|
VISUAL
dHash
|
34ac7cb20c808080 |
|
VISUAL
wHash
|
9f1f1f1f0e60e0e0 |
|
VISUAL
colorHash
|
381c0000000 |
|
VISUAL
cropResistant
|
b282904c4c48b2aa,34ac7cb20c808080 |
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 22 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.