Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10EA2A672E0502A3F519383CC7253F71DA5A3934DCBA91C1692BC4B9E4BE2F90E81755B |
|
CONTENT
ssdeep
|
384:aAy5NBMoLqnj5isRzCyJj6PmFE9NPpWLc8En+TIYsOy2+y9BH4cCUIe:aAy5NBML6wj6PmFEjpWjEn+T7sOy2+yv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e367fd1a90692392 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
1c4b4bc3edcd1300 |
|
VISUAL
wHash
|
00f1e1600f01ffff |
|
VISUAL
colorHash
|
39000600001 |
|
VISUAL
cropResistant
|
0000000c0c000000,b200900170308000,9c4f4bcbc3cdcd13 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.