Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C72A6E862A315EF52078BF8F175BB38E27EC649D7A79A48F2E8817053CDC94D902244 |
|
CONTENT
ssdeep
|
192:jcha5P7V2fdl/6GJwOPEA27em3QaLfeo+S7lSRsnfq8I:j6a5zV2fdVP6KFo1nCB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c3d94378533cd6a |
|
VISUAL
aHash
|
073e180c3006007e |
|
VISUAL
dHash
|
a632b2d8e4a48de4 |
|
VISUAL
wHash
|
173e783c7226447e |
|
VISUAL
colorHash
|
39600008000 |
|
VISUAL
cropResistant
|
a632b2d8e4a48de4 |
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 29 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.