Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T172E11DF1D040ED37435386D9A7B6AB0B7291C349CF071A4593F883AB5FDACA0CB1569A |
|
CONTENT
ssdeep
|
96:TksoOnfzD71tDlt8v67MAdw5USS8ctmMTD0ZwvFrUeJXKHFjeVXJz/hfq2J:QwnfzD715lt8iI6w56YM/FDMYvz1qw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b939c6c46cc6c6e4 |
|
VISUAL
aHash
|
c38bcfcfc3ffffff |
|
VISUAL
dHash
|
1b1b1b1b1b060000 |
|
VISUAL
wHash
|
c3898d8981ffff00 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
1b1b1b1b1b060002,8aaa8efac6f28e8e,5a5a5a5a5a5a5a5a |
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.