Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6B16035A412AC77916BD3F1A7B0E72BB3C08649EB9703914BF4636C8BC6CE4EC56065 |
|
CONTENT
ssdeep
|
96:509TBn9YLfqtvGznhD93rfEfmlDgVLutxRB3S:29TOn1931p7xX3S |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f326728676999899 |
|
VISUAL
aHash
|
c3c3e7c3e7ffffff |
|
VISUAL
dHash
|
8e8e8e8e0e445858 |
|
VISUAL
wHash
|
c3010303c3e3efee |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
8e8e8e8e0e445858,6c9c9f6cac8e9486,00000c3030040000 |
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 82 techniques to evade detection by security scanners and make reverse engineering more difficult.