Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AE3B6BFA1249C6FF199C794EFB458593188D0CAFB829394C3A8877C7E600D75C3A964 |
|
CONTENT
ssdeep
|
1536:K5GbtQdbp2ySux3xVfz3xVfdz3xVUeuQWhpWrdKx46dezE2gucsiFHOWpPg/bzrb:uOwiA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852ed28e2ace2de |
|
VISUAL
aHash
|
fd0c0c0c0c0f1fff |
|
VISUAL
dHash
|
999838b878b83626 |
|
VISUAL
wHash
|
fd0c0c0c0c0f1fff |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
999838b878b83626,14108eacce2e0e4e,8b393b0b8b4b3187 |
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 140 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)