Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173E376130215692E4437C3C07575DB77D2BAD98FFAA70A404EECC7B67AEAC50B81A52C |
|
CONTENT
ssdeep
|
1536:S2tu2z7A/6EYUgQmTa3MZo+Hd1+u0E1jjC3lez1vJI1zUWpRb9tF:S2tu2z7A/67OQGH3Gozp3J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9852f9af69a2a338 |
|
VISUAL
aHash
|
fd1c1c1813ffdf99 |
|
VISUAL
dHash
|
09b4fcf5636e3b33 |
|
VISUAL
wHash
|
fd1c0c1001bf9f9b |
|
VISUAL
colorHash
|
070001c0001 |
|
VISUAL
cropResistant
|
09b4fcf5636e3b33 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.