Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAF1EF312185EE3B8393CAE55076ABAF36C6D74BDA4B278426F4C39C5BCACD0CC1A455 |
|
CONTENT
ssdeep
|
192:KJv0aEabX9o5G+vZdPOHP5xVw/76YflxCY:KJM3aby4I7ohLwjjlT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d39dac658b1a06e6 |
|
VISUAL
aHash
|
bbde0e0c6860c0c0 |
|
VISUAL
dHash
|
62361cc9c9c6b085 |
|
VISUAL
wHash
|
bffece0c6c60c0c1 |
|
VISUAL
colorHash
|
38002c00000 |
|
VISUAL
cropResistant
|
4be4bb1c4da658a1,69c9c992a3c668b9,682eaca4acacb192,62361cc9c9c6b085 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.