Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F204B5E161802B7E425F83C59B75FFD8E3EA505EFAC90846C2E843A452D3CD4EEAB544 |
|
CONTENT
ssdeep
|
1536:/ohanDLqLej04BraXf2uvUaKrkPsDLWj65mh10FqVElaLlT0B6ZBFB7ByBS:/ohanKVU/BUBFB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9849673674671e9c |
|
VISUAL
aHash
|
001c3c3c3c3c3c00 |
|
VISUAL
dHash
|
177171733129690c |
|
VISUAL
wHash
|
003c7c3c3c3e7e46 |
|
VISUAL
colorHash
|
074000001c0 |
|
VISUAL
cropResistant
|
62329a22b2aa332f,177171733129690c |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)