Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C73B7B19184EEBB5083C7F5E7363616B2A681E5DA565BC5C1F0C38D5FE2C84CD0B8A4 |
|
CONTENT
ssdeep
|
768:VOxW/pRJHo6XvwpsimUK4u5BmTFjVt/teyO9uRQigCaN5n9hqC4T:VzJzXvwpjmU4Bs10uRgDU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d292e4ecad9b93c0 |
|
VISUAL
aHash
|
ff006c0c00006000 |
|
VISUAL
dHash
|
33c4c899c0e0d0c0 |
|
VISUAL
wHash
|
ff767c4c00707e60 |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0001c0c3c3c00001,1fdfcf8fe6e6d0e0,e4c89908c0e0d0c4 |
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 544 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)