Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197D2B67261402A3F0193C3C9B361F76EA1D38389D749151587F9439D4BEBED0EE239AA |
|
CONTENT
ssdeep
|
768:B9y5NKM9jbZaMpmgilir8mWXbUJqB7sOy2+y9BH4cLIe:s9jbZ3AJXbtB7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc18c7c7922c7c6c |
|
VISUAL
aHash
|
ff088083c7f3f3ff |
|
VISUAL
dHash
|
61b0363f17276798 |
|
VISUAL
wHash
|
3f008083c7c3f1ff |
|
VISUAL
colorHash
|
07601010000 |
|
VISUAL
cropResistant
|
61b0363f17276798 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.