Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A503AE30660835A742B794C4B830BF597193E35FC14784A46BBCE2650FD7EA1F92A4BB |
|
CONTENT
ssdeep
|
768:m0u2NUXUBqogbxcT5emlBg4lNpI6ZgF50Wkis/uNvI+Rw72ZS79W7Wv77u7UV7xh:m0uZXUBqogbxcTUmlBg4lNpI6ZgF50Wi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c77078acc9383c |
|
VISUAL
aHash
|
007e3e3e3e000000 |
|
VISUAL
dHash
|
44cce8f0f434d385 |
|
VISUAL
wHash
|
f47e7e7e7e180002 |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
d55dc5a4f191f070,7f7fffbf3fcfcf7f,44cce8f0f434d385 |
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 262 techniques to evade detection by security scanners and make reverse engineering more difficult.