Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9234AB26332B4A843DB91DEF7382D46B2D2989DF8C74554F1C99A8D13C3C912297BB4 |
|
CONTENT
ssdeep
|
768:aU+EsZx8/G85q0DV42DawJM5BSwnM5BTwzqN2/y9dGDUDF1E56ITmH+LXPnTyPqM:aU+EsZ/85q0De2DawJM5BSwnM5BTweNZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc5df1e30c8ca323 |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
3232323070080000 |
|
VISUAL
wHash
|
ff00000000ffffff |
|
VISUAL
colorHash
|
33018000c00 |
|
VISUAL
cropResistant
|
08000c0c0c001012,0000000000000000,32320c3230307068 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)