Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13833857301066A2F109342E5D71DE76AD3C5C65DCB638F4BF6E8C36762CACA0EE25168 |
|
CONTENT
ssdeep
|
768:SahW4y684oKRowNZM7QaHZW2M8kyu9hShW4y684oKRowNZM7QaHZW2M8kyu9hMhU:hECh3m0YBsed5+FO20rxTAa8k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
963e6d63c1c9d21c |
|
VISUAL
aHash
|
00003e7e7e7e0000 |
|
VISUAL
dHash
|
c32f6cdccccc3348 |
|
VISUAL
wHash
|
00007e7e7e7e00ff |
|
VISUAL
colorHash
|
07083000000 |
|
VISUAL
cropResistant
|
ee8caeb2be8c8e32,0001000000002054,d32f2cccd4cccc33,452549d5e5710145 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)