Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B12F2E0C055FD3B435396D9A7B66F1B77D1C389CF02094493F8836B9BCACA0DA22599 |
|
CONTENT
ssdeep
|
96:Tkfs1DtSTBEWhUSPRr8v67TUvNSFuGhl0aXICYrGhlmCXzCYrGhlmmX7CYj/JElR:Qfs1DcVB8iSouG2CyGzCyGvCKMz7Dl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6a64dc919b131e6 |
|
VISUAL
aHash
|
ffe7c7c7ffffff00 |
|
VISUAL
dHash
|
a04d4d4d4c200000 |
|
VISUAL
wHash
|
ffe7c3c34100ff00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
a04d4d4d4c300c00,00a2a2a2a2a2a280,00a2a2a2a2a2a280,00a2a2a2a2a2a280,888bf4c4d4d4ccf0,0000000000000000 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)