Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105B22134FA4D07AF718783EE36A1AB5DA1D8C385DAF74529F3E8824D478ED0C6D48252 |
|
CONTENT
ssdeep
|
768:BHcAEDNiE2GsQTD9dpo/H3mQjLZPp1G1pxP:B/S9dq8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
906d6fb0b4c59339 |
|
VISUAL
aHash
|
000026ffcfce0000 |
|
VISUAL
dHash
|
b211cc9c9c9c2358 |
|
VISUAL
wHash
|
1b003fffefcf8000 |
|
VISUAL
colorHash
|
30001000180 |
|
VISUAL
cropResistant
|
2124a4241ecece1c,c6c1c9ca5ad4ddac,b211cc9c9c9c2358 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)