Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DF142E2D054DD7B472385D8A7F6AB1B7251C349CF03194057F483EB9BCACA0CB16699 |
|
CONTENT
ssdeep
|
192:QBLhB7ngknzHJ1bPUUqdIMxfblmX170IMpe02iJgKIMpVn:QBLhBckzp5rq+MxfbYFNMpe038MpVn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6d38928692c76d |
|
VISUAL
aHash
|
ff8181ffffffc3ff |
|
VISUAL
dHash
|
4017072026101722 |
|
VISUAL
wHash
|
8f81819f9383819f |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4017072026101722,00802829c9490688 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.