Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16363C77012225AAB019383D1F6B29F5DA1C49391D7638A79F3FC8B5FAECEC48CC85161 |
|
CONTENT
ssdeep
|
768:U2ZELk+CuIoiAcldTOAhK2WD+7P413MC0hEEj63xcmbkF:Z+CLFAcldTOAhK2WD+7xj6hcmbkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bad5aca890e6c0eb |
|
VISUAL
aHash
|
ff00e4ee4d818181 |
|
VISUAL
dHash
|
0c094d4c9909250b |
|
VISUAL
wHash
|
ff00f4fecf818181 |
|
VISUAL
colorHash
|
300000082c0 |
|
VISUAL
cropResistant
|
0f0f0f09490f0f0f,c6194c4c9909251b |
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 160 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)