Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F335A726332B87842DF62DDF7382B05B2D3998AE9C74694B1C996CD23C3C9065937B4 |
|
CONTENT
ssdeep
|
1536:a5+EsZ/8rBNDLDaw5MLBYw1MLBUwZUXx+y9dQyDF1ZAU84HaXwI:aGm6w1wPUUXxpDzHy7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
edc192d22e916fc4 |
|
VISUAL
aHash
|
fffbc383f3f3ff00 |
|
VISUAL
dHash
|
0912123236332061 |
|
VISUAL
wHash
|
ffe3838181d1ff00 |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
0912123236332061,17339b9d93a797d5,202060606060e0e0 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)