Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E138234224C2E3DA957CAE4F7A4B329137ED195E62FD06CA6BD11B117C3C48E82B6D4 |
|
CONTENT
ssdeep
|
768:6SmGuuAn/TmSYUYcFYfLYnYIeYeYOMYGYkVmQGGGG4lGGGGUGGGGoijx2HAYGq:nnibVtGGGGOGGGGUGGGGoijx2H9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f372cc8c9a13cacc |
|
VISUAL
aHash
|
fcc2c040ffffe7ff |
|
VISUAL
dHash
|
498e0c58160c0c55 |
|
VISUAL
wHash
|
fc000000e7e7e7ff |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
498e0c58160c0c55 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.