Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160F186B2E054DD330B5281D6BBB63B2FB9E1C215CB020E9412F843AE5BCFD61CA12599 |
|
CONTENT
ssdeep
|
96:Tk8tzYtqOSTg/bN8v67Mpd7nIF9qXWHFrqX0X/KST5+AT431:Q8tzYtkU58iIb7nuNXvP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
831f031f83bf81f8 |
|
VISUAL
aHash
|
0000ffffffffff7f |
|
VISUAL
dHash
|
50000060608000d0 |
|
VISUAL
wHash
|
00001f1f00ffff3f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0050505050504080,2020604000c000d0,0000000000000000 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)