Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F92326101886F2E272786BEF5D1F324A26DC199C1AB939DF3AE40B117CBC1AD9371C5 |
|
CONTENT
ssdeep
|
384:3VEUrwpTMDbBqoYCYSVaYvk7UgNvZuK4ocO+MD1KywO7ptqQlx4bTiVwLRDOmRO3:3VEUrwpTMDbBqoYCYSVaYvk7UgmK4ocI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9dc8b56aa560b572 |
|
VISUAL
aHash
|
5a181c183c18007e |
|
VISUAL
dHash
|
b271783068708996 |
|
VISUAL
wHash
|
7a3c3c3c3c3c407e |
|
VISUAL
colorHash
|
38000000e10 |
|
VISUAL
cropResistant
|
b271783068708996 |
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 370 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)