Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13253647291817E3A258343D19B64935BE3D1C58DCB6249A7EBDC831A72C7DE4FC26328 |
|
CONTENT
ssdeep
|
1536:R0XJ0NCIo/z26XQ68c6Qy6h/6/uwkxm/r8mdDamc3iFm:mZ0Ror26XQ68c6Qy6h/6/Lrm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc0ec3e369c292e3 |
|
VISUAL
aHash
|
ff1e1e9b8b8fdf8f |
|
VISUAL
dHash
|
69343c33333a3932 |
|
VISUAL
wHash
|
fd0c0e01898f9f8f |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
69343c33333a3932 |
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)