Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E7161B2610489374250C2D206BAB36ED275D506C9A38E51EBF013ED5ADAFF1EA73186 |
|
CONTENT
ssdeep
|
48:fFJgq9T39ecdrdiX/osgqNwjXTNfmwNJeAmwN8J0TGRUtzqPATz9+VS:fTVzQ/lKNfB+J0T8UtkAT3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9d9a626cccc1999 |
|
VISUAL
aHash
|
ffff981818080000 |
|
VISUAL
dHash
|
323a32b2323a2400 |
|
VISUAL
wHash
|
ffffffd818180000 |
|
VISUAL
colorHash
|
30e00010000 |
|
VISUAL
cropResistant
|
a8a26424b1931335,7e6c1c3efe3c0e8e,cc0809cccc8c2b8c,323a32b2323a2400 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.