Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8F15411A3096A18659AC3A4FC70CBAAB30552D1D3190BF63EE5827FF84C7E0897B5CD |
|
CONTENT
ssdeep
|
192:q5Ns6jWIL+1kvKMjZMen/0TWGuqeLHH5PwGW:q5kILPNtW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b83cc2c3c3c738c7 |
|
VISUAL
aHash
|
c3c3c3c3ffcfffff |
|
VISUAL
dHash
|
1f17171f1b1b1b1f |
|
VISUAL
wHash
|
c38181c3c3cbcfc7 |
|
VISUAL
colorHash
|
06000000e00 |
|
VISUAL
cropResistant
|
1f17171f1b1b1b1f,bfceca7ffee9fbff |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.