Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T151A2331321081A95C2F34CDD98103A41A282E74FC8715670D2FC5E7B1BE2AB6B799F7E |
|
CONTENT
ssdeep
|
384:pdOSW9onYUJSLcmYTJSGdC6acE/+betGyVh7g:1nJccmeNJ9iZg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2ad5a27ad58a562 |
|
VISUAL
aHash
|
bfffefffe7fc04fc |
|
VISUAL
dHash
|
744c0c140c480808 |
|
VISUAL
wHash
|
00e7c7ffe7e40030 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
744c0c140c480808,44c4d2949290948e |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.