Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116C34C31725A783E53CB40CCB3796B4671C3E518D9CB0860B9A85AD923C3C65729BBF9 |
|
CONTENT
ssdeep
|
3072:5vOQwVwTYJYVX92kKkYDI8Z18820D0j/cK:5vYqVX92r15D0IK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b236c88dd88dc72d |
|
VISUAL
aHash
|
ffc7e7c7c3e7fffd |
|
VISUAL
dHash
|
2e0d0d0f8e4c6d89 |
|
VISUAL
wHash
|
dfc7c3c3c30201fc |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
2e0d0d0f8e4c6d89,0501697169698287 |
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 140 techniques to evade detection by security scanners and make reverse engineering more difficult.