Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11A224033B600DD2A8D9B66CCF2C09A89511DC349FB3148CAB1A481BF7BC5CF1699979D |
|
CONTENT
ssdeep
|
192:Jn3JcdU9xoQkxOnMcnthWeNWbYa4VfMmUU8VCo48k:clOu4VfMmUFCo45 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b634343474367c7c |
|
VISUAL
aHash
|
c3e7efe7ffffffff |
|
VISUAL
dHash
|
960c0c0c0c000000 |
|
VISUAL
wHash
|
030307270f0f0f0e |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
960c0c0c0c000000,6272726a69797110 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.