Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T160A3733381946E2E02DF92D4D7306B6ED262458ACB130BC973F44BA9AFD6DA1CD2355C |
|
CONTENT
ssdeep
|
3072:CSg5hKe1pxoE/Au7sSo/MQhdkUNShjGzm/W:pe1pxowAP/DwnN/W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9bc69b8e98cc8c99 |
|
VISUAL
aHash
|
3c3c3c3c3c3c3c18 |
|
VISUAL
dHash
|
6969717179717171 |
|
VISUAL
wHash
|
3c3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
00000007000 |
|
VISUAL
cropResistant
|
4e170f0f1b3b3371,0b0bcb1696a139d9,6969717179717171 |
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 2472 techniques to evade detection by security scanners and make reverse engineering more difficult.