Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AE82D832C282BB6A55A261D09770AB1FE1D3B149CE170E8E57F54B8F8F52ED1DC2209D |
|
CONTENT
ssdeep
|
192:uqepnOJ2KXtT32v/uPtRo9hx/n7Mo9hx/n7qAMzYcS8s:uSJ2FuPKhthpMcc4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c13e9ba2cc7b823 |
|
VISUAL
aHash
|
ff08000000dfffc3 |
|
VISUAL
dHash
|
3af8f0f0b0b00e17 |
|
VISUAL
wHash
|
ff1c000018dfffc3 |
|
VISUAL
colorHash
|
03010000c00 |
|
VISUAL
cropResistant
|
3af8f0f0b0b00e17,e7f999d1f9ec6cae,f0c8cc5a18b8b8e0,e1a14826a262f0c5,7f77776d7d672626,8000804020000000,08292a2a6a6968e9 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.