Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F03423055109D370183A3D4FBB25BBF63D1C291CE430A4AA7F88B1E9FDAD91CE295A5 |
|
CONTENT
ssdeep
|
768:CbkjINf5B2qJOPLUhICFfR7YvZfrgLcGCm+3a:mkjINfv2qiEYvZfh3a |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c689ec798387c |
|
VISUAL
aHash
|
1000042e3e7c7c60 |
|
VISUAL
dHash
|
b4e0f8ccccc8c8c1 |
|
VISUAL
wHash
|
10000c3e7e7efcf9 |
|
VISUAL
colorHash
|
30019000600 |
|
VISUAL
cropResistant
|
c1f0f0f8bcb4bc3c,8000609696867000,b4e0f8ccccc8c8c1 |
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 1472 techniques to evade detection by security scanners and make reverse engineering more difficult.