Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F853EA71A120383751BFB6D5F169B70691D3D70ECA8257E2A1FCA36A0EDACA1FC07506 |
|
CONTENT
ssdeep
|
768:m/DCpXWn9r0FQq8gCl2rRP2tT2jWZ2pz2kO2CK2KP2tT2jqZ2yYGXJ+MsGPm08md:m7mXWn9rhx0dHBG8MsI8md |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4164353999cecec |
|
VISUAL
aHash
|
0000d3dfffffffff |
|
VISUAL
dHash
|
e8e8a6340c000206 |
|
VISUAL
wHash
|
000000cfcfffffc3 |
|
VISUAL
colorHash
|
070010000c1 |
|
VISUAL
cropResistant
|
e8e8a6340c000206 |
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 208 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)