Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180A250B22144D83717528BC90A247B0EB18382ABC64B8F17E3ED579DDBC9EA1ED0443D |
|
CONTENT
ssdeep
|
384:k9OWJ42II/enUn4feWI6WJFcIIVenUn47tnRV/i1XzHMbJ:k9h42IIGIVFcIIKIzeJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b04f8744cf7db0 |
|
VISUAL
aHash
|
ff47c3df5fffff00 |
|
VISUAL
dHash
|
709f9f979e694126 |
|
VISUAL
wHash
|
fe00c0c147ffff00 |
|
VISUAL
colorHash
|
07000008180 |
|
VISUAL
cropResistant
|
709f9f979f694926,000139c5a5290100 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.