Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13C431FB0229216BB51C7C2E5A260AF2EF2E9C74AD517DB19B2FD824B7BC7C01CD51364 |
|
CONTENT
ssdeep
|
768:o3V0dE9MbXRk9n9vFBSOTKon/HpMhqx0Gi6PfLm1xgH4T:ZbaJdqVo/0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a9d2d678a53ac686 |
|
VISUAL
aHash
|
ffffffc381818183 |
|
VISUAL
dHash
|
e897cc1f1b2b2b07 |
|
VISUAL
wHash
|
ffffff8381010003 |
|
VISUAL
colorHash
|
13008000e00 |
|
VISUAL
cropResistant
|
e897cc1f1b2b2b07,365757574f431f0e |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)