Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B5252367058125C226738E2E0F63296FB17157E7E8348F07576DE1ED2E866FB0329A4 |
|
CONTENT
ssdeep
|
384:FgZxDJns08nEmEHE2LAB//GOZSlHc/n7G9saLG:FgZxDJs08nEmEHE2LEGOZ77GCaLG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb6dc492c33a2a6c |
|
VISUAL
aHash
|
ffd381858585cfff |
|
VISUAL
dHash
|
02232b2b2b2b3b04 |
|
VISUAL
wHash
|
ffc38181818187ff |
|
VISUAL
colorHash
|
0e006000000 |
|
VISUAL
cropResistant
|
02232b2b2b2b3b04,a8818969696989a8,c36ccc8cacac8c6c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.