Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149818422444A905F421A83C5A6B6BBAE950BD846CFA00FC4D8B94BC7E699F75F13319C |
|
CONTENT
ssdeep
|
96:vu5ZGO2dW3VpO/DM0qy8YKa30Ja33Ja3FJaFmM:v80O2YVpO/DM0qy8Y93l3A3GF3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc99663399996666 |
|
VISUAL
aHash
|
1818181818101800 |
|
VISUAL
dHash
|
b2b2b2b2b2303030 |
|
VISUAL
wHash
|
9999999999999999 |
|
VISUAL
colorHash
|
38600018000 |
|
VISUAL
cropResistant
|
529ac949ad6d6ddd,b2b2b2b2b2303030 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)