Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F205E6A0B340AD70105F87EEC0A7344D30D1FAD9D6E165DDE6FA0546E97ACE0BAE42D8 |
|
CONTENT
ssdeep
|
3072:VlvYQLiz7EROK/LvC3QhDSnlMRw45hWuUaDyKzZJEqdOuEqeoDn87Ldzp9LcL:Ptf4wIoaU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9696436d6d699692 |
|
VISUAL
aHash
|
107e7e1800024042 |
|
VISUAL
dHash
|
61ccccb38c969696 |
|
VISUAL
wHash
|
387e7f7f42424246 |
|
VISUAL
colorHash
|
38002000080 |
|
VISUAL
cropResistant
|
131333336f4d694d,61ccccb38c969696 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.