Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FAE121E1C044DC3B531385E5F7F5275FB596C345CB060A8853F892AA5BDFCA0CA23A9A |
|
CONTENT
ssdeep
|
96:Tkf8d7khOlzH0X0eGCVW8ZEBHwvFWeZXsHFTPeOkXQz/qVW26QPJ:Qfk7khOlzH0XsCVZEuKB2ONzSZ6QR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c38f4561bc3cbc86 |
|
VISUAL
aHash
|
0000ffffff000044 |
|
VISUAL
dHash
|
26c9e13008d8c494 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
d8c9003038300848,0000000000000000,0404000008c8d4ed,dbdac4d4ccc49494 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.