Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A893BB23421975274437C2C1347A6B3BD1A6D99BFAE70A010EECC7FA6BF9CA0741B519 |
|
CONTENT
ssdeep
|
768:qT9tpR4nXF6YjOpSpFlTC6rrWjAo4e5GAXkzbg4Bv:qZtpR4nXBKpSpFl26vcAnXEkzk4Bv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ccc343330bd73b3 |
|
VISUAL
aHash
|
83bbbbbbbfab8300 |
|
VISUAL
dHash
|
2666626262627626 |
|
VISUAL
wHash
|
033b3b3bbb838300 |
|
VISUAL
colorHash
|
0a007000000 |
|
VISUAL
cropResistant
|
f4e8d4b6cc972b49,17b26969cc96b22b,2666626262627626 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.