Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F73747251426A3F118386E1931CEB6DE382D60DC7A74A4AE7EC831B77CADE0DD35164 |
|
CONTENT
ssdeep
|
1536:eZCm+7uDcoV0e40x2LhyS0zNGEP5fiF0xxVuz8pu:9ar4If9hu |
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,1019cd5533a32222,b1a67315b5194b4b,38789d9c8c8c8d8f,8512382727000f0c,848fc9c98b23338f |
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)