Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179E1EBA34458082E743342DDE12663A630A7A31EE65B0A0CD7ECA33747DDCA7F96BC45 |
|
CONTENT
ssdeep
|
96:TRS1dKkvy+YiRmmRaXmDKwI1c+p3h+hvb5ak:NS1byGhA2z+p3h+hUk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c76738c63138c6 |
|
VISUAL
aHash
|
ffffdfcbff8f8fff |
|
VISUAL
dHash
|
106050d644999a60 |
|
VISUAL
wHash
|
ffbd9d913c0c010b |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
106050d644999a60,3a5c0c0300000000 |
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.