Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T153D2942231402A7F0B674DC6F135FBADE28B928CD26704DBB2D992E953C5DE0DA33552 |
|
CONTENT
ssdeep
|
384:HGtOKJT+AlZY29dVfqjIpJ/LZAMGPPg0UWA9dH:HizTPQ29dVinMgPg7WA9t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36b903c94c33bcb |
|
VISUAL
aHash
|
7c00787030007c7e |
|
VISUAL
dHash
|
ccc4c0c0c4c0c4d8 |
|
VISUAL
wHash
|
7e747c7070007c7e |
|
VISUAL
colorHash
|
38000000000 |
|
VISUAL
cropResistant
|
ccc4c0c0c4c0c4d8 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.