Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5225023B600CD2A8D9B568CF6C09589451DD346FB7148CAB1A091FF7BD0DF069A879E |
|
CONTENT
ssdeep
|
192:evH3J4dH3MYYnbYx9McnthWeNWbZfMmUU8VCohjtfJpL:QOXMYYjfMmUFCohjtfJpL |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464c6ccdc9a9b31 |
|
VISUAL
aHash
|
f3c3c3dbc3ffffff |
|
VISUAL
dHash
|
26060f1396160000 |
|
VISUAL
wHash
|
f3c3c181c0fcf1f0 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
26060f1396160000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.