Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CF26170A059693702D3C6D5A370274FF3D6828ACE932B99A7F9C3AD2FE6C56DC44250 |
|
CONTENT
ssdeep
|
768:xY01NqQ2YBDmwsRbJ0oyoJpLAnLIaUf7x:xY01NqQ2YBD0QoJpLAnLIF7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4806b49b703ff4a |
|
VISUAL
aHash
|
4002070f0f070080 |
|
VISUAL
dHash
|
9ac4ec8c9cde1e24 |
|
VISUAL
wHash
|
60067f7f4f0f0686 |
|
VISUAL
colorHash
|
38600030000 |
|
VISUAL
cropResistant
|
cc8241339ec8f070,281432697178746c,9ac4ec8c9cde1e24 |
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 36 techniques to evade detection by security scanners and make reverse engineering more difficult.