Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164E2A971A0007B3B01A392CAB291E75EA3E3974FD649045652FD836D0BE3E50EE2775E |
|
CONTENT
ssdeep
|
768:BQeJp7QFJrZJGzdb6ebU7sOy2+y9BH4crIe:HmFqfI7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d240f932bd6d94e1 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
98ccc4e0cc0cc300 |
|
VISUAL
wHash
|
006470382e0effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04200c86860c3004,0080800058988000,988cc4e4c8cc3cc3 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.