Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15762F9B2F05264135127E1E9267F532F60B30AD4DAAF4988D6F873BC7ED0C4984973A9 |
|
CONTENT
ssdeep
|
384:lONJNHNSNPNrNCraAWj2nvUwXNAfLwUWAuYx6jomrYZJp2/R2vYtF+L:EY2vUwXNAzwUWAyWwR2vYt4L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dc7122cedd718887 |
|
VISUAL
aHash
|
001818183c3c2000 |
|
VISUAL
dHash
|
b0e8f05032b0c8f0 |
|
VISUAL
wHash
|
1c3c3cbc3e7c3c18 |
|
VISUAL
colorHash
|
38200098000 |
|
VISUAL
cropResistant
|
b0e8f05032b0c8f0 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.