Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D914C6E160802B7E415F87C59BB5FFDCE3EA505EFA890846C2E843A452D3CD4EEAB544 |
|
CONTENT
ssdeep
|
1536:kohanGLqLeje4BraXL2uvUaKrw8PsAVILjP7vvMnwaGb3WY0rv69xB6ZBy9B7By0:kohanphUGbLBUBIB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9849673635671b9c |
|
VISUAL
aHash
|
001c3c3c3c3c3c00 |
|
VISUAL
dHash
|
177171333129691c |
|
VISUAL
wHash
|
003c7c3c3e3e7e46 |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329a22b2aa332b,177171333129691c |
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)