Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15F039535A255AE3740A792E5F3A1A32B22E69389C9470344C3FD83BD0EE7CD4FD26594 |
|
CONTENT
ssdeep
|
768:DjcDWarx4TWvXInFs93CG+nolYtKrWdatX1E4zAwxjL0th0:3lWvXIF8Kk1EyAA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3ac1ca5c6b7138 |
|
VISUAL
aHash
|
8987878f9ff3f3fe |
|
VISUAL
dHash
|
2b3d3d393d474726 |
|
VISUAL
wHash
|
8187878585e1f1fe |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
2b3d3d393d474726 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.