Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10953967691417A2B148383D19B6C936BA3C1C9CDCB915B47EBDC831EA2CBDE0DE36065 |
|
CONTENT
ssdeep
|
1536:lBexH26kL0d0WwdS65FyNiIfi5bNTN1lIjBDy26GuQ68c6Qy6h/6Amu+rX8xm/rq:lBexHAL0iWwQ65Fixfi5bNx1lIjBDy2m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c0ec3e369e292e3 |
|
VISUAL
aHash
|
ff1e1e9b8b8fdf8f |
|
VISUAL
dHash
|
49343c33333a3932 |
|
VISUAL
wHash
|
fd1c0e01818f9f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
49343c33333a3932 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)