Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B8E20A36B7582256804317DCE51EE27A60A2F32ED79642E491BDC73F66D8D30F82B706 |
|
CONTENT
ssdeep
|
768:cVUQpI5noMkD9p7zifvhbbJH9aNG1r8eO6BfGrpHrFREdOjSHYzhi1Owso:cV3pI5no//7zifJb9daNG1r8eO65Grpu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3cc35333c9998cb |
|
VISUAL
aHash
|
00707c38346c6000 |
|
VISUAL
dHash
|
98c1f1e9ccc8d833 |
|
VISUAL
wHash
|
7c707c7c7c7c6c00 |
|
VISUAL
colorHash
|
38600030000 |
|
VISUAL
cropResistant
|
c6c4a1bbb39ada8b,98c1f1e9ccc8d833 |
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.