Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FC3201747002247B83378EC2B0755F2D7627E31FC60668056BED56A65FCBCA5B8E80B8 |
|
CONTENT
ssdeep
|
192:EpncbbRgSVzqJgoeochrvOz6dXhm862j1rciQuVQUdXhmivgd/6FKmiBmximIURp:unEJzqJgoeochrvOz6dXhm862j1rciQQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333336666cccc8c |
|
VISUAL
aHash
|
e7e7ffe7e7e7ffef |
|
VISUAL
dHash
|
4c4c124c4c4c0858 |
|
VISUAL
wHash
|
c0c0d8c0c0c0fce4 |
|
VISUAL
colorHash
|
07040011200 |
|
VISUAL
cropResistant
|
4c4c124c4c4c0858 |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)