Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12773F8A83919F5161AB343A710DF14037378122B580D4D70B251FD9EB6BCC9AB16BFEA |
|
CONTENT
ssdeep
|
768:6SmPum2RasKS4UCINc2YRaIjka2bMbCiTHMgsk2Yt+uPYLUcipz9ERsZuGOjjgqY:nGlUuRNka2wblHbJLwLIz9GguGOjjRnY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc66339999666699 |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
0000003232000000 |
|
VISUAL
wHash
|
000000181c140000 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
0000003232000000 |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)