Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFF219F463A5E6BAA101D3E4D736563A739701FADE838310C3ED9B9C89D9C8EDC49841 |
|
CONTENT
ssdeep
|
768:WhXTRlXND9bVbv9OpT8RVPYMOXTFsKtbxe:2RFVr9OpQXYMOXTFsKtbxe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b32ac47ddbc095d0 |
|
VISUAL
aHash
|
ff0103010303ffff |
|
VISUAL
dHash
|
b30f9f5b5b1ec5c0 |
|
VISUAL
wHash
|
ff0103010303ffff |
|
VISUAL
colorHash
|
1a200180001 |
|
VISUAL
cropResistant
|
202380b4b0820087,fefd68736f7cd8dc,8080c0c08060e0e0,0f1f1fdb5b5b1e3e |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.