Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126942CA2731470BFE0D7CABCF5597339D11B818BE06B109CA29C9572A74ACC5E93B784 |
|
CONTENT
ssdeep
|
1536:AUQE0apqJ9LGdZtFevFe2FexFexFeAr0WMXcl3s0yyxJT765sEVBQGxTOSbJSDqD:U2BF4DqTj/mN6ZXt1967+ph |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d36c3db18cc6c638 |
|
VISUAL
aHash
|
0200747e2c6c6c00 |
|
VISUAL
dHash
|
c69eccccd8ccd848 |
|
VISUAL
wHash
|
42407e7e7e7e6e00 |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
d3973d6d6d34978b,3a33b33232934b4c,c69eccccd8ccd848 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.