Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12D5385725261193B217787D5A27E332E32F7619EE943021492FE43B893D9D88F837998 |
|
CONTENT
ssdeep
|
768:DQT3YVKi8DPQdM6wM6fdzwhYut9Yn0y3/CBOVFWheIhD5jW/LkdsyFG:m0Ki8zQAdzwhYusFQjZG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83c5b46d964f9661 |
|
VISUAL
aHash
|
76287c7e6e00007e |
|
VISUAL
dHash
|
c6c0c8ccdca4a9dc |
|
VISUAL
wHash
|
76387e7e7e00007e |
|
VISUAL
colorHash
|
38007000200 |
|
VISUAL
cropResistant
|
c6c0c8ccdca4a9dc |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.