Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D424107379163426103FC2DB606B173ED192DBCFFA930A815AF8C3B91AF9C90B696145 |
|
CONTENT
ssdeep
|
1536:Q0gMqZRTksPEGIhIEBa4QjoTuY/cjI81ujE9jLMLTLvG55BXpLgv7OGX7OG77OGC:Q3bjZPtuJLJfJBJk6oq9sPr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c63939c638b9c726 |
|
VISUAL
aHash
|
2000606c74707000 |
|
VISUAL
dHash
|
cc44c8d9c4c4c419 |
|
VISUAL
wHash
|
7e087c7c7c70702b |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
ac4cccceb28ef87f,8000806068800080,800080d0d0800080,800080c0c0800080,a080a88c8cb080aa,cc44c8d9c4c4c419 |
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 972 techniques to evade detection by security scanners and make reverse engineering more difficult.