Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178F110F0C051ED3747A386D9A7B56B0B72D1C349CF030944A3F883AB5BDACA1DE11699 |
|
CONTENT
ssdeep
|
192:QGnbzH715lUGoHGyIMi9GZTGu/fvg9/3rDrL:QgbmzHG/Mi0USgh/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b3194ce6664ccc |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
0c0c080816080000 |
|
VISUAL
wHash
|
efe7ffe7d3000000 |
|
VISUAL
colorHash
|
07000010180 |
|
VISUAL
cropResistant
|
004c0c100c0c1216,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)