Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197632AA43E5DF16669F3439710CF25037278521B540E4D20A204FDAEB6BCCAB616BFDA |
|
CONTENT
ssdeep
|
768:Z7u2buLP341KxS8bjX0tbJzlw/FzaIKfue2gKujD3qboaFKuzJsCtM:TbWfhBDWbo//Kf/4g6bogX11tM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3b838c78338eec6 |
|
VISUAL
aHash
|
bd00000c7c3c0000 |
|
VISUAL
dHash
|
4180044969691240 |
|
VISUAL
wHash
|
ff00003c7c7c0000 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
0020466169711620,4180044969691240 |
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 9 techniques to evade detection by security scanners and make reverse engineering more difficult.