Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15B517365C148DD2B9275C0D0E571A36D9ACD824993130B89E3EC473C27EB9AADC5FEC8 |
|
CONTENT
ssdeep
|
48:W7ofEVLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:W7Tt5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ffc9c8f382d82262 |
|
VISUAL
aHash
|
f0f0e0f1e1c38787 |
|
VISUAL
dHash
|
01030f030f1f1f3f |
|
VISUAL
wHash
|
f0f0e0f9c1c38787 |
|
VISUAL
colorHash
|
07000248009 |
|
VISUAL
cropResistant
|
01030f030f1f1f3f |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.