Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106D1F9E1835051485287C5EAEF777B6F714394EAFA120AE586E7E739F8CBCD0A810C54 |
|
CONTENT
ssdeep
|
192:by6iSqugxuO4Rnigni6U3qV0OKPGC9jbfq0M:W6iVV4POqVbe3jbC0M |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8888a2a3aba3a7ef |
|
VISUAL
aHash
|
ff18181818000000 |
|
VISUAL
dHash
|
3130b23030001000 |
|
VISUAL
wHash
|
ffbf3f3f38200000 |
|
VISUAL
colorHash
|
38000008680 |
|
VISUAL
cropResistant
|
3130b23030001000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.