Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDE2D932B110773B519792C9B3A2F31AE6E39205E78A0515D2FD836D0BE3D54DA33A26 |
|
CONTENT
ssdeep
|
768:MSky5NvB7HLRWU3+lUxMd7sOy2+y9BH4crIe:f7VSUOd7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc18ed26c1b3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
92ccc8c2cadccc00 |
|
VISUAL
wHash
|
0064fc706024ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,d08cc8cac2d8dccc |
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.