Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9F2E921B210592F731382E8B861FA59B06AFB4ECD165ACCF3FC52A76F65CCC4D12A51 |
|
CONTENT
ssdeep
|
384:XKpD1upc3WE/hdyCvggp5aSzgCO8nOWCPrQuIzU/6JeuMu5F8BV:XKpD1upR6dNvRpzgXaCPLSJeY2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b038cfcf5b381866 |
|
VISUAL
aHash
|
fde7c3c7e7ffe7e7 |
|
VISUAL
dHash
|
394eb69c4d324c4c |
|
VISUAL
wHash
|
9dc38383c781c7e3 |
|
VISUAL
colorHash
|
071c0000000 |
|
VISUAL
cropResistant
|
394eb69c4d324c4c,062391522589039f |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.