Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BCB2B77B81551237073309F5F0156FAE72478B0ECA178AC1FAAC82D96BD1E989DB21DC |
|
CONTENT
ssdeep
|
384:L8tPKvjMabXxSFmITydt3G8xkq3CoBFLgfFdRqfgVnc4wzi:L8tPMoaFJtHZdQGYR7wzi |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e94896c5cf92694d |
|
VISUAL
aHash
|
f8f8d9f9f9f9ffff |
|
VISUAL
dHash
|
2033333333132806 |
|
VISUAL
wHash
|
c0d08099d9c9ffe3 |
|
VISUAL
colorHash
|
06c00008000 |
|
VISUAL
cropResistant
|
2033333333132806,369ed0d4c442822b,96aa036969690109 |
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.