Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A040A7422441D2DA55383E3F1A5372AA1BE838FD50F8818F278D2F667CAC4DA9277D4 |
|
CONTENT
ssdeep
|
3072:sawoAMyC2KCdyKc66oqSWKS4OrHh+irMjO7TtUMb/HGykaL/tqWTJeNcCA6LE:sawoAMyC2KCdyKc66oqSWKVOrHh+mMjO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e98b3a68a99cea6 |
|
VISUAL
aHash
|
ff00183810300000 |
|
VISUAL
dHash
|
6900607262620b6b |
|
VISUAL
wHash
|
ff003c3e3f3b0909 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
002969696b696982,0498645b4ba51200,12e4607266620b6b |
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 45 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.