Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18114B6E160802B7E415F83C59BB5FFDCE3EA505EFA990846C2E843A452D3CD4EEAB544 |
|
CONTENT
ssdeep
|
1536:SohanLLqLeje4BraXL2uvUaKr7Ak3cbrpda/uH/1xR+0+qmZXtjXwmJB6ZBy9B7L:SohanUhUvZXtk+BUBIB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
984b673434671f9c |
|
VISUAL
aHash
|
001c3c3c1c1c3c00 |
|
VISUAL
dHash
|
1771713331296916 |
|
VISUAL
wHash
|
003c3c3c3e3e7e6a |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329aa2b2aa332b,1771713331296916 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)