Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CA74222342197A2A4437C3D07465DB37D1A69E9BFEA30A404FEC87F66AFDC50B40A61D |
|
CONTENT
ssdeep
|
1536:k3UgQmTa3MZo+Hd1+9Nm/OHd+Smfu4/ZT4oU5yooovNKWs/iQqYv1/7hi1l+YZm2:oOQURHfQWNNKfhi1lkPWsoYbI4You |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcbe41e21b93c634 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
4b2736322604d038 |
|
VISUAL
wHash
|
ff83839f93ff0000 |
|
VISUAL
colorHash
|
0e0c0018000 |
|
VISUAL
cropResistant
|
692b373630262690,80a2000670690420 |
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.