Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FC3B8B3531415BF3E2342C8EA08235F7196A44EEF5756E4B1F8C1E862E7D5128B1AC7 |
|
CONTENT
ssdeep
|
3072:crztnJ7Fq5EvBbYUor8ZB+Npofi3MGGb+QAZf:cNJ7fBkUDZY7wiNZf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b643495d4d694769 |
|
VISUAL
aHash
|
00ffe7ffd3ffc3c3 |
|
VISUAL
dHash
|
cc080c0c1726332b |
|
VISUAL
wHash
|
00e7e7e7c3c381c3 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
0c0c4d0c1726332b,008080d0d4d4d120 |
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 935 techniques to evade detection by security scanners and make reverse engineering more difficult.