Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14523CF30760535A742B794C0B870BF5931A3E31FC14784546BBDA2650FD7EE1FA2A8BA |
|
CONTENT
ssdeep
|
768:lyS2gal5wLXUBqombxcT5emlBg4lNpI6ZgF50Wkis/uNvI+Rw72ZS79W7Wv77u7J:lySJLXUBqombxcTUmlBg4lNpI6ZgF50G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e57a708a699a34 |
|
VISUAL
aHash
|
003e3e3c3c00003c |
|
VISUAL
dHash
|
44cce8f0f4147169 |
|
VISUAL
wHash
|
b87e7e7e7e00003c |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
d55dc5a4f191f070,7f7fffbf3fcfcf7f,80c0c0ba33808a3b,44cce8f0f4147169 |
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.