Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129332070A153096F9A87E1C9BB755F4AE2C68207C7520E49B3F6834F9FC2D60FC89661 |
|
CONTENT
ssdeep
|
1536:hIIIUPYxAnz+eeecnJeeecw+eeecnJeeecW+eeecnJeeecjTk:MAMk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88473c3e3186c777 |
|
VISUAL
aHash
|
0000783001ffdfcf |
|
VISUAL
dHash
|
afc5c4e29f253516 |
|
VISUAL
wHash
|
0030783801ffdfdf |
|
VISUAL
colorHash
|
0ae80000000 |
|
VISUAL
cropResistant
|
6198010101498968,c0c008cef13c0e07,d621a53534151e13,ecafc0c4c4c2f39f,682830b4989e1c9c |
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 100 techniques to evade detection by security scanners and make reverse engineering more difficult.