Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FC2E875E114633A932B8BC4FAA06B1F71AB124CE5531C68E3FD47D11FC2ED8D822965 |
|
CONTENT
ssdeep
|
384:/DltvxIhjYnKPqVoECU9a86lSwVBLCELWJNFkf/kAnvxJIISQ3:hvnf/a86lSwyNFexGISQ3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2d3d53c2a65d5c2 |
|
VISUAL
aHash
|
ffff7f4101000000 |
|
VISUAL
dHash
|
8ed8d4872b2b2f1b |
|
VISUAL
wHash
|
ffffffe301010000 |
|
VISUAL
colorHash
|
30018000400 |
|
VISUAL
cropResistant
|
8ed8d4872b2b2f1b |
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 588 techniques to evade detection by security scanners and make reverse engineering more difficult.