Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15C72097DF22822B08B4343C6FE7163F6F61B80BD97521BD897584218B3A95ED8861EC5 |
|
CONTENT
ssdeep
|
192:QopoBt504uJRNNScVo6EQmo5ty3iuf3ECku9cuGRmKbMpBXp7sfgg8gk:QsoudRfSbo503iKEVsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
972a752a55aad58a |
|
VISUAL
aHash
|
01017f7f7fffffee |
|
VISUAL
dHash
|
234dc0c1d3c10d4e |
|
VISUAL
wHash
|
01007f6f2fdba706 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
234dc0c1d3c10d4e |
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 487 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.