Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119C1767952090E3EB51787E0E668FB2992DA834AE20F941CEABD12B15386C44DC776D8 |
|
CONTENT
ssdeep
|
96:Ti6KIkzVrLBkex/+kLmarm+kV/Bajm+kE2lni6F6JlAarm+kOwRYoKOUKt6a:96rlTMoTe4zGnorwKOrt6a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d8d85ad8d9c8cad8 |
|
VISUAL
aHash
|
fc8081ffff000000 |
|
VISUAL
dHash
|
802e0193b2000000 |
|
VISUAL
wHash
|
fcc0ffffff000000 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
c080c0c0c0c0c0e0,802e0193b2000000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.