Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17B0384357808DC3A11DB9AC99672212AE0F6930AC61719C5FAB1D3FA679FD7CCA33054 |
|
CONTENT
ssdeep
|
768:JpQDaxqTmRBgk1BAOzy0Jio2shpOg7bAC4kYCeWy0YFLNZtnsIx/j7Uf7x:JpQDaxqTmRBgk1BAOzy0Jio2shpOg7bd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed6d43969096c963 |
|
VISUAL
aHash
|
130101dfc3ffe7ff |
|
VISUAL
dHash
|
5723233e2b2b0f0e |
|
VISUAL
wHash
|
000000df83ffe7ff |
|
VISUAL
colorHash
|
07206008000 |
|
VISUAL
cropResistant
|
5723233e2b2b0f0e |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.