Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15761A3330A40981D7324E8A1ECA762CDC5A9D30FC2165C20F72933FAA2D79E9C473566 |
|
CONTENT
ssdeep
|
48:biNng7Ut5ZWiJg6FTUjrZ6jxUlUrUKsKhVNaN4O5h3iVOdCQFftJSFfRqfbK66me:bmcUt5C6y6Tveh3iVQFAvx6WkUfL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8506871703ff5ae |
|
VISUAL
aHash
|
0000ffffffff87ff |
|
VISUAL
dHash
|
82a2961ce0575725 |
|
VISUAL
wHash
|
0000f3ffffff0101 |
|
VISUAL
colorHash
|
0e1c0000000 |
|
VISUAL
cropResistant
|
a69609c580577725,008292929a00b2b2,6567636765656d1d,6565660a2a6a6746,aaaacec9a9293517,9a1951424a425654,e9695494b4d6ce4c,e2e2ea4a5a4a18b4,a54544697414868b |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.