Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T118B21C6FB1C0211D05831561BF117AABDD3D88EDA2B2D594C8EEC5D6A3C05A8C3772FA |
|
CONTENT
ssdeep
|
768:Jfq2WQbUFHBcCVymFENh5h3SF/yDW2YqwO:wZH9GCVDFEN/0F/uWzZO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e9a39616584e567 |
|
VISUAL
aHash
|
001dbfbf60600000 |
|
VISUAL
dHash
|
59796d64c9809435 |
|
VISUAL
wHash
|
84bdbfffe07c0080 |
|
VISUAL
colorHash
|
30401200040 |
|
VISUAL
cropResistant
|
59796d64c9809435 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.