Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178A3531A7B4CEC5D146796CDFAB47F158534E3FAF09A5071E86E25741383AA0B8B3C88 |
|
CONTENT
ssdeep
|
1536:Vpl3QeP6gOdM88XXXXw8XXXXM8XXXX/8XXXXxQ8XXXXmN8XXXXU25:VplgePQKH25 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf38c730646c746d |
|
VISUAL
aHash
|
003c1810003c3c3c |
|
VISUAL
dHash
|
d469327061696969 |
|
VISUAL
wHash
|
5a3c3c3c3c3c3c3c |
|
VISUAL
colorHash
|
300010002c0 |
|
VISUAL
cropResistant
|
d469327061696969 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.