Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17CF2753332809E7F41D7C3F9F6A4BBA9A2819358C867565BF3ED437A1B92D51CC12284 |
|
CONTENT
ssdeep
|
768:j63Qn5MVOK7vkTj9G28EdQiorWQt/f81vHUM:jtH9G28iQioV8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1d53a3556a155ae |
|
VISUAL
aHash
|
027c787830610301 |
|
VISUAL
dHash
|
96f1c0c0e4c2c335 |
|
VISUAL
wHash
|
5e7f7c7c70704301 |
|
VISUAL
colorHash
|
30003000180 |
|
VISUAL
cropResistant
|
a200806d2d800080,96f1c0c0e4c2c335 |
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 28 techniques to evade detection by security scanners and make reverse engineering more difficult.