Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E0D3A3D56618138CA057C9ADFF2FFE05131FB1AABA554680298EC26C96CF8D2F71352C |
|
CONTENT
ssdeep
|
1536:hU0RQ7Hq7cnpahblA36USXtPv3lFsR8MLqcfXFsR8MLqcMWl:+0RQ7Hosa4MtPvA2d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b51e78e8cbc3e0e0 |
|
VISUAL
aHash
|
9f03073fefc3c7c7 |
|
VISUAL
dHash
|
30364e701e169e1e |
|
VISUAL
wHash
|
1f03031fcfc3c3c3 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
30364e701e169e1e |
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 153 techniques to evade detection by security scanners and make reverse engineering more difficult.