Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B91296A98D802421325292F679F56F8E76568517C702FCA0F7D492CB89CFDB5CC0338A |
|
CONTENT
ssdeep
|
96:5RpnY1N4TQvQKuiJeSMzAdyNc7JHrGPPbkcxz2PTeiwDsK73Mr/x/BDXgtHnPJzN:DTALf/HX3027bgaQnvgQrij5zFkx7Fpr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
898d262399af26af |
|
VISUAL
aHash
|
99183c1818000000 |
|
VISUAL
dHash
|
13b021b2320c1020 |
|
VISUAL
wHash
|
813c3c3c3c38003c |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
cc963363138edcd8,13b021b2320c1020 |
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 675 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)