Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11173737211426A3F118386F5931CE75AE3C3D609C7A7994ADBE8831F2BC6DE1DD3A064 |
|
CONTENT
ssdeep
|
1536:+tIowHADc2S0Q4W/mZvyJ0RBGw/jwu0txVuz81I:IuQyijYZI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e042a6be366cbc96 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
8cc983131c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,2d0dc74325ad6266,b1a66295b1194b4b,38789d9c8c8c8d8f,8512382727000f0c,848fc9c18b23338f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)