Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14992B8F2148CE57623039FD0F466B715B3DB55BEEB820B0082AC93985FE7AD1D44989A |
|
CONTENT
ssdeep
|
384:XaXJuiRi3jFrte8LTjKkrzjg1rJj3rr81NWEGWPZ+gEbDP5p3OC8CZ55dRh2re1:XcJuqi3jFrte8L3UZGBoZkCZvdRh2re1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d26278d269d7672 |
|
VISUAL
aHash
|
0010001818181800 |
|
VISUAL
dHash
|
6272b0b2b2b2b220 |
|
VISUAL
wHash
|
001818183c3c3c24 |
|
VISUAL
colorHash
|
07006000080 |
|
VISUAL
cropResistant
|
e2e2a8339aa09c9c,6272b0b2b2b2b220 |
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 105 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)