Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1F186A1E454DD330B5281D5B7B63B2FBAF1C345CB02099412F843AA5BCFD61CA2269D |
|
CONTENT
ssdeep
|
96:Tkig/tzYtqOSTH/bN8v67Mrd7nxaFVKXCHFbKX4X/qST5+AT431:Qig/tzYtkj58iIx7nxYZXPP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
831f031f83bf81f8 |
|
VISUAL
aHash
|
0000ffffffffff7f |
|
VISUAL
dHash
|
50000060608000d0 |
|
VISUAL
wHash
|
00000f0f00ff0000 |
|
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)