Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T103A3D813B390B23AC156F1A18CDFDE09B675455C92C6940C665DC1E9AEB087C8B3EEEC |
|
CONTENT
ssdeep
|
1536:BWybGKKOx0RSyi8e8gRBIF8J6RB5hQO0h9rkPXLRiw4AlScjJ6krUUSl5TfFClmi:BznjIF8J6RXhQOmkPLRT4AlScjDvBmQB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aced43929238e1ed |
|
VISUAL
aHash
|
fffffbffff000000 |
|
VISUAL
dHash
|
0c2213372452f0d4 |
|
VISUAL
wHash
|
ffffc3d7d7000000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
0c3823121f372643,0c32b20028b69609,8292809696969680,00143070c4d4d4d4 |
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 3196 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)