Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168928621E520919F03BBC7CCB500DE4518AEA11FD5D989BCE67C05B47FD6CBC7A291A4 |
|
CONTENT
ssdeep
|
192:mn9Ww7OZFmoZOZFQKOZFQZpOZFj0OZFRAOZFR0QOZFy/WTM5UnWflm7NWTM5UnWM:Y+EMAW1rqlXgq7uqMmpePW3Y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e68633cc33666666 |
|
VISUAL
aHash
|
e7ffe7e7f7f3e7e7 |
|
VISUAL
dHash
|
4d304d4c04354c4d |
|
VISUAL
wHash
|
c3e3e7c327370303 |
|
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)