Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E14135610104CC2F1991A6DC87F97A1B55C7C7B4CA071A4566F857ADAEC9E08CD681B4 |
|
CONTENT
ssdeep
|
24:hsOupTjNFds1h84LADe94Q0LAuXoKHAQg/uzoK2oxN+P31KvH2Dwvd4Pa:JupPXdA8GIe94BMubeoevAWDCdX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3898c269d99338d |
|
VISUAL
aHash
|
fff0f8f8f8e4d8c0 |
|
VISUAL
dHash
|
d0001032204c3000 |
|
VISUAL
wHash
|
fff0f8f8f8c0c080 |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
d0001032204c3000 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)