Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120F375630118692E4437C3D075759B77D1BAEA8FFAA70A404FDCC3B676EAC50B81A52C |
|
CONTENT
ssdeep
|
1536:lGAk3wUgQmTa3MZo+Hd1+GM081jjC3le3fHfVPcikoMCUvORHQ6R:bk3wOQhzP3eHdpZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a49be69b6e83b320 |
|
VISUAL
aHash
|
fd9c0c1c01bff3f3 |
|
VISUAL
dHash
|
4934bcf5733a2527 |
|
VISUAL
wHash
|
fd1c0c0c019bf3f3 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
4934bcf5733a2527 |
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.