Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F5453318061A43FB2A749D8A131772EB2BFC20FDA070D58D2FDA7B54BD7CD69962484 |
|
CONTENT
ssdeep
|
6144:41KYiDsglHHHH5q3GuEWdKG8gLRrJwHBEL8N:IKYiDsglHHHH5q3GuEWdKG8gLRroBELM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93132c3c16e765ba |
|
VISUAL
aHash
|
024c6c6c6c60ffdb |
|
VISUAL
dHash
|
d6d8c9ccd8d41423 |
|
VISUAL
wHash
|
004c6c6c6c6cffe3 |
|
VISUAL
colorHash
|
38400008048 |
|
VISUAL
cropResistant
|
f0d063e1948c9ef8,b626ada13919e6a6,e2da96278b936b97,d6d8c9ccd8d41423 |
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 713 techniques to evade detection by security scanners and make reverse engineering more difficult.