Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB726821E510915F02BBC7CCF500EF4955AEB20FD68989B8F6BC05B46FD7CB879261A4 |
|
CONTENT
ssdeep
|
384:75RL2+svUyUOWupd0YVHJhKfUyLfTcePW3Y:75RLhss7OXpd0YVHJhK8mbv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e68633cc33666666 |
|
VISUAL
aHash
|
e7ffe7e7f7f3e7e7 |
|
VISUAL
dHash
|
4d304d4c04354c4d |
|
VISUAL
wHash
|
c0e0e4c0e7f7c3c3 |
|
VISUAL
colorHash
|
07000008640 |
|
VISUAL
cropResistant
|
4d304d4c04354c4d,614e860e09c64601 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)