Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1391241F1E090ED37071385D6B7B67B2B76A1C348CF431A5457F8C3AA6BCAC60CA1159A |
|
CONTENT
ssdeep
|
192:QGingknzD715lt8iIG3yVXUgCs2cNsgzQ0q48F:QG3kznf1Z3eXURdcNu0q48F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13113cecece82da |
|
VISUAL
aHash
|
cfc7c7f3fbffff7f |
|
VISUAL
dHash
|
9e9e9a16064600d0 |
|
VISUAL
wHash
|
00000000f3f3ff3f |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
9e9e9a16064600d0,030ee1b09838a41a |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.