Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1917283295930F6BF50A393D507B167FAE7946849F8B60787AAED87C80F80E859C1341F |
|
CONTENT
ssdeep
|
384:GBEBd44jHtyTAvAxJjL+TxjPJJ51D/nK1X4/fraJhlnz:+od44jNwAvKJL+ljPJJ51DvKy/fraJLz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcd607f04fe14525 |
|
VISUAL
aHash
|
009fffdfdfdfc300 |
|
VISUAL
dHash
|
263936b2bab09773 |
|
VISUAL
wHash
|
008edfdfcfdf0100 |
|
VISUAL
colorHash
|
0f002000008 |
|
VISUAL
cropResistant
|
110938b4849292d1,3c44c7a4a082b6f0,263936b2bab09773,25252c2c48983068 |
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 21 techniques to evade detection by security scanners and make reverse engineering more difficult.