Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10653C5B4A35847BA10D793E2AB71D6FA72519AE2C613CF18D3F48788DBC5C4ECC4A851 |
|
CONTENT
ssdeep
|
384:UXjnXjnefeGBZQ2QZ9dWQfyOuovoFo6/xz/IHzXQ2A9p4CRp18Zc19sWvQpGindw:CTQfQAoiszg/9pgWvQ3k+AV7NH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9fe0d51f684917d0 |
|
VISUAL
aHash
|
ffffbd818187bfff |
|
VISUAL
dHash
|
88056929696d7280 |
|
VISUAL
wHash
|
fefd8181818182fe |
|
VISUAL
colorHash
|
070000c0006 |
|
VISUAL
cropResistant
|
88056929696d7280,21668e9c38307171,da78e72f0f1e1d8d |
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.