Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B73D9B1D3C679AB813393C4A32778A57B744112B3018B209FB99F5DBEC7C249C396A5 |
|
CONTENT
ssdeep
|
1536:944xC0OPPVO6MnpfEzg1oifoeREf/bpdcbLSYEkYLlTgS:XXEzgloCQ/bp+IhTgS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36f9c3c846dc724 |
|
VISUAL
aHash
|
003c3c303c38187e |
|
VISUAL
dHash
|
b2e9c849c0f0f0f0 |
|
VISUAL
wHash
|
187c7c387c3c187e |
|
VISUAL
colorHash
|
30200000007 |
|
VISUAL
cropResistant
|
b2e9c849c0f0f0f0 |
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.