Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E54F7F6EA5529F82BBF22F2F821C00AA22F113D97097C646155C048FDD745F93A1AE7 |
|
CONTENT
ssdeep
|
3072:bvY8v3vSv3vSv3vSv3vRvWvWvvvWv7e5N/XscluIPISD66f0eGgNz+IbxfXlxcFg:AaauoD66fTHHJXvcFg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c233f23f0c01f9e |
|
VISUAL
aHash
|
1f1f1f1f1f1f1f1f |
|
VISUAL
dHash
|
7e7e70b4b4747474 |
|
VISUAL
wHash
|
03031f0f0f1f1f1f |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
6c6c80b8d0c0a0a0,f186ac3636ac86f3,0008167171166090 |
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 299 techniques to evade detection by security scanners and make reverse engineering more difficult.