Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C7819522440A905F421983C5A6F6BBAE950BD846CFA00FC4D8F94BC7E699F74F13319C |
|
CONTENT
ssdeep
|
96:vu5ZGO2dW3AxpO/aM0q78YKa30Ja33Ja3FJaFmM:v80O2YcpO/aM0q78Y93l3A3GF3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc663399996666 |
|
VISUAL
aHash
|
1818181818081800 |
|
VISUAL
dHash
|
b2b2b2b2b2303230 |
|
VISUAL
wHash
|
9999999999999999 |
|
VISUAL
colorHash
|
38600018000 |
|
VISUAL
cropResistant
|
529ac949ad6d6ddd,b2b2b2b2b2303230 |
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)