Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D3E232317040A6330BA3A1D693313B0EA2D1E245CD721A46BFF997B86FE1DB5DD23A15 |
|
CONTENT
ssdeep
|
384:9Ti6wcF0COuXrXV8rL8FKqCTKoKcCQkVKlC+KrCTwEW72tL:s5kXrXV8rgFZCh59kVw7ieL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e081782f1f9f07f0 |
|
VISUAL
aHash
|
03e0666e6620c0c0 |
|
VISUAL
dHash
|
a6948cc8ccc99090 |
|
VISUAL
wHash
|
03e27e7e7e60d8c0 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
90cc8a88cc4bc886,a6948cc8ccc99090 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)