Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FBA2441321081A95C2F34CD8981166447186EB4FC8719770D2BC1E7B1BD3AA6B7A9F7E |
|
CONTENT
ssdeep
|
384:pIGN2eIel4elW6weFvYxgFHKLlKcaXxspvlOKLNhs2:ieigQL82 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5a25255aa576 |
|
VISUAL
aHash
|
7fffffffc3c0fcfc |
|
VISUAL
dHash
|
c4880ea096140008 |
|
VISUAL
wHash
|
003fe7c303003c3c |
|
VISUAL
colorHash
|
07000000006 |
|
VISUAL
cropResistant
|
c4880ea096140008,0010083232080001,04c452a0b094948e |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.