Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AED1C4317684377362C3DAB3F759A3B9A7A4C958C22381CCB1A8C1ECBBC9D251611F48 |
|
CONTENT
ssdeep
|
96:TxH0FSpnAHEY4ZX45I1u1tCaqsevaGP9fGpZuQau+YnVuBpZf6ZWQKFzsg:hySpAHE140HGpc0Cph6qFzz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3991c92c367376c |
|
VISUAL
aHash
|
3c3c007c7c7c307c |
|
VISUAL
dHash
|
f8f0d0c8c0c4c4c4 |
|
VISUAL
wHash
|
3c3c007c7e7e307c |
|
VISUAL
colorHash
|
18007000000 |
|
VISUAL
cropResistant
|
f8f0d0c8c0c4c4c4 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)