Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19B02EE726500ADB70193E3EAE771E76F3686D349CA932786A2F8D74C4FC6C9ACC51214 |
|
CONTENT
ssdeep
|
96:HuxUHep7PzJCvHIxhnuB1Q+BO4vRl8voOBvlPHFXYRJoTB0VgmryJxyQP3r2:HuxU+pgPYnus4vRl2lYRJoTG0xvi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a9a38384eceec65 |
|
VISUAL
aHash
|
3cffff3c00000000 |
|
VISUAL
dHash
|
7179696940000000 |
|
VISUAL
wHash
|
ffffff3c00060000 |
|
VISUAL
colorHash
|
070020001c0 |
|
VISUAL
cropResistant
|
7179696940000000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)