Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E831623592608817418252893FF1674BA3828342E7170E8436FA87AC2EF9E5BCC1A4A9 |
|
CONTENT
ssdeep
|
24:hRfCLBADenvFZoZJjiMfpRhfl7Xo3VfVKuOvWGRIea:TgBIenvEZViMfdftCtKeGY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa55f12846e313fa |
|
VISUAL
aHash
|
e6da2c341101c381 |
|
VISUAL
dHash
|
54366c69254b9707 |
|
VISUAL
wHash
|
f6da3c3d1103c3c3 |
|
VISUAL
colorHash
|
30000c00000 |
|
VISUAL
cropResistant
|
db576e9932e8d0a0,a2809acccc8c80aa,54366c69254b9707 |
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 16 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)