Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12024107379163422103FC2DB606B573ED182DBCFFA930A815AF8C3B91AF9C90B656159 |
|
CONTENT
ssdeep
|
1536:v8gMlZRTksPEGIhIEBa4QjobA2GgoIT+8ruGjLMLTLvY5mSJX6L5q7OGX7OG77Or:vibjdxOFJLJfJBJkaVzKsPK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63939c63939c726 |
|
VISUAL
aHash
|
2000704c74707000 |
|
VISUAL
dHash
|
ccc4c0d9c4e4c419 |
|
VISUAL
wHash
|
7e087c7c7c70702b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4ccceeb2c6f87e,8000806068800080,800080d0d0800080,800080c0c0800080,a080a88c8cb080aa,ccc4c0d9c4e4c419 |
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 665 techniques to evade detection by security scanners and make reverse engineering more difficult.