Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BC28570E1547D3B00A3D3E5F7974379B2E5810ADA560B1692F883AD8BE7C83EE2614D |
|
CONTENT
ssdeep
|
384:DpHXCTMhWKlBxfdV8ojPbQjopKl2VxPKdK/K7zK7rkrZZRre3TeQFexvTe6mlapb:DpHZMqfFjUjYS2fAW4wrKXmlap9X5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2e52934d6e5c1c6 |
|
VISUAL
aHash
|
46017464660e0e7c |
|
VISUAL
dHash
|
944bcdcccc98dcd5 |
|
VISUAL
wHash
|
7e01f4f4760e067c |
|
VISUAL
colorHash
|
38000c00000 |
|
VISUAL
cropResistant
|
944bcdcccc98dcd5 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.