Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDC4F84773C1323E9942F0A16CDFCD9EB73A8548A396C4A9615C81B4176C438D6BFAEC |
|
CONTENT
ssdeep
|
6144:kNolw3e7Ex2wO5/Q2giMyKTbwZVkOu83Q0rLOYCw67dfNuSlUJ5Gq/:P+EYC5/ZZjKXwbpN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e79d9232cd4d9292 |
|
VISUAL
aHash
|
ffcfffd3e3e7e7e7 |
|
VISUAL
dHash
|
e0161e920f4d4d4d |
|
VISUAL
wHash
|
0e00c3c3c0e4e4e4 |
|
VISUAL
colorHash
|
07200008180 |
|
VISUAL
cropResistant
|
e0161e920f4d4d4d,3313426437723a1e,000030e1c9d01c2c,1c4e46666663b1b1 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.