Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155030922D04414239753D3CAEE507B45B2FF11FCEA2754308BB9E3A5A7C4EA5243E99E |
|
CONTENT
ssdeep
|
768:gAOUW448VXv1QPhuRsH6upffbdUNaM3xyO:G44YviP0RlAUN/3x1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e57847963c3cd291 |
|
VISUAL
aHash
|
c0e0c181ff7f2733 |
|
VISUAL
dHash
|
8c43130fcccc4e66 |
|
VISUAL
wHash
|
c0e0c081ff7f2733 |
|
VISUAL
colorHash
|
10007000000 |
|
VISUAL
cropResistant
|
8c43130fcccc4e66 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.