Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197E2373422415AB706D3D2F4B564EF1EF2A9D388CA279A4AF3F8C3476BCAC05CD55264 |
|
CONTENT
ssdeep
|
768:n3VrdE9H55RJ4jnegVUkExiYlYfGglsBvyMhqx0Gi6PfLm1YvgH4T:6//4Lt7MU1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc02823dd12acc7f |
|
VISUAL
aHash
|
000010c0c3c3c3ff |
|
VISUAL
dHash
|
816830101a2b2b07 |
|
VISUAL
wHash
|
003c90cecbc3c3ff |
|
VISUAL
colorHash
|
38000000c00 |
|
VISUAL
cropResistant
|
484b888890828040,3030d8d85afcfcf0,816830101a2b2b07 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)