Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DF1B73150481C3BC1178199A7D1E76F31A39282DB5B5A04C6B897DA9BE7ED0EA232CD |
|
CONTENT
ssdeep
|
192:29/iMLTkxIyHv7eQpIk1T8410z+410zrZ:2Ki0yZkZ8410z+410zrZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
96b2694bc66db096 |
|
VISUAL
aHash
|
0d0e1e3e3e1e1800 |
|
VISUAL
dHash
|
d9bcfcecec7c7273 |
|
VISUAL
wHash
|
0d0f3f3f3e3e3800 |
|
VISUAL
colorHash
|
32e80000000 |
|
VISUAL
cropResistant
|
6667e0b49498c8c0,92beb8b2b28eb2a2,2828d6d6962b6bd9,d9bcfcecec7c7273 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)