Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T194D29731B1002A3F119783C6F771F35EE2E2928ADB86191652FC835D4BD7E94DE2742A |
|
CONTENT
ssdeep
|
768:leFy5N0oe89tXIPtPmp8XnvH/i7sOy2+y9BH4crIe:Be89JIP0p8i7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d53abc29a1c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc5c3e3cd2cd100 |
|
VISUAL
wHash
|
00fff1310000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dccdc1c3e1cd0cd0 |
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.