Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T147E13260011A9E7B209281D817719B1F63DAC728D9A77605EBF4D7F81BDEF70DC22284 |
|
CONTENT
ssdeep
|
192:nT1HUpA+R8O3tj2b8bo01/Vb4ibQyZy7NY1V:nTiXf9jjbo01/Vb4ibQyZyZi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee99c2d91e98c2d1 |
|
VISUAL
aHash
|
fcf0f29290f0f0f0 |
|
VISUAL
dHash
|
21a7263626c52625 |
|
VISUAL
wHash
|
fcf0f092b0f0f0f0 |
|
VISUAL
colorHash
|
06006000000 |
|
VISUAL
cropResistant
|
21a7263626c52625,8084923232b28c90,8084b2b2b2b28c90,4e1e3e3e7f4f434f |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)