Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10131CEC141D454B7413392C1EFE7B72C67E309AAE9522901C7DD82AC4EB9DE1ED23015 |
|
CONTENT
ssdeep
|
24:hp/CrSh2dX7MyiZhBrp+zTMZ7mSV2FyBkzPRtUo1S2dXRMxZjtyza:IShmbuhBrp+z+qDFyu3RSmRkUa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e262db9f8f26209c |
|
VISUAL
aHash
|
e7e7c3c3ffffff99 |
|
VISUAL
dHash
|
cc8c8e8e303030b2 |
|
VISUAL
wHash
|
e7e7c3c3ff181800 |
|
VISUAL
colorHash
|
07002180000 |
|
VISUAL
cropResistant
|
cc8c8e8e303030b2 |
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 187 techniques to evade detection by security scanners and make reverse engineering more difficult.