Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171F1FE726500ADB70183E3E6E7B1E76F36D6D349CA932782A2F8974C4FC6C9ACC50214 |
|
CONTENT
ssdeep
|
96:9lbo7PzhCvHzxhnuj1QgEBO4vRlXvC+BvlPJkRJoT+yJxyQP3m2:uoPjnuX4vRl6RJoTzxv7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e465656564ce9a9a |
|
VISUAL
aHash
|
c3c3ffffc3ffffff |
|
VISUAL
dHash
|
8696416802280000 |
|
VISUAL
wHash
|
c3c3ffbd00000000 |
|
VISUAL
colorHash
|
02e00000000 |
|
VISUAL
cropResistant
|
8696416802280000 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)