Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144542AF8935853F196874BD4F9B11A46339610EEFB914B88C3A48AE0FBE2DC9D435C61 |
|
CONTENT
ssdeep
|
3072:i4D4GTa7jDw/4Q1pSBn1pSBy1pSB61pSBo1pSBafoi2cluAkYc1Dv:p4h7jDw/47g7/tP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a2075cbca9ade34 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
a2dc786169697904 |
|
VISUAL
wHash
|
007e7e7f7fbc0400 |
|
VISUAL
colorHash
|
39000000e00 |
|
VISUAL
cropResistant
|
c0c0d0c080808080,a2dc786169697904 |
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 592 techniques to evade detection by security scanners and make reverse engineering more difficult.