Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C3D2C631B0502A3B139783C577A1F35EA2E29289DB461D0963FD835D4BD7E90DF2392A |
|
CONTENT
ssdeep
|
768:CeFy5NasziVAYhV/IeA7n8X0BHeE7sOy2+y9BH4crIe:gzi2YhSn8AB7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b43c9c29e1e3 |
|
VISUAL
aHash
|
002060000000ffff |
|
VISUAL
dHash
|
dccdcbc3cdcc8100 |
|
VISUAL
wHash
|
00fd71710400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,cccdcbcbe3cdcd84 |
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.