Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A14C5E160802B7E415F87C59BB5FFD8F3EA505EFA890846C2E843A452D3CD4EEAB544 |
|
CONTENT
ssdeep
|
1536:GohanpLqLeje4BraXL2uvUaKr0wBNkbvD/bNbSnwaGbu0Jdh2B6ZBy9B7ByBS:GohanmhUk2BUBIB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9849363665671e9e |
|
VISUAL
aHash
|
001c3c383c1c3c00 |
|
VISUAL
dHash
|
1771717231396914 |
|
VISUAL
wHash
|
003c7e3c3c3e7e46 |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329a22b2aa332b,1771717231396914 |
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)