Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C13C936A6C4983A92D38BD9E3203D5DA18E8047CEE685D9F3F5C3986BD1EC3DD91016 |
|
CONTENT
ssdeep
|
384:hUqVqUyyRTtzn/1ADWgiyI4vKE7qw20Hp8nkbGn1MJUFRXDDyLNa3qAvq4Qj2M1g:hdVlRT9DuNks7sXhh4c9WoVRkBzct |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9de8396c387682e |
|
VISUAL
aHash
|
ff8183ff8181ffc1 |
|
VISUAL
dHash
|
6b2b2bc22b2bea0b |
|
VISUAL
wHash
|
ff8181ff81813f81 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
6b2b2bc22b2bea0b |
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 935 techniques to evade detection by security scanners and make reverse engineering more difficult.