Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181C34F709548EC3BB1A7D2D4A2708B4F31C0C345D7478B0197F597AEEACBDA6DE21288 |
|
CONTENT
ssdeep
|
1536:b82PRhOJv0OG5PVrjFag5uIIDa2POvOPYdetXtuNujUzI7cnuNujUzgu9bi2:bn57oYItXtMuIzjMuIz57 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d962e64939192eb6 |
|
VISUAL
aHash
|
00ff1a18181818ff |
|
VISUAL
dHash
|
418ab032b2b2b28c |
|
VISUAL
wHash
|
80fff718181818ff |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
8000908c8c800088,b09ade543a704d5c,88008c8c8cb00080,418ab032b2b2b28c |
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 187 techniques to evade detection by security scanners and make reverse engineering more difficult.