Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EB29775454899370E63D5E6F7B1AB1FB6D28389CA832682A7F8831C1BD7CD5CE70248 |
|
CONTENT
ssdeep
|
384:p5P5NzXkF57kyBA8wHgL9MA/aviQwV3YhNZJJpGxseqRz:H55Wh3/a3wVKAsxRz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6b3b1ce96318cc6 |
|
VISUAL
aHash
|
fff3302030300000 |
|
VISUAL
dHash
|
4a66616961605060 |
|
VISUAL
wHash
|
ffff38343c303030 |
|
VISUAL
colorHash
|
3a000030000 |
|
VISUAL
cropResistant
|
0000000000000000,4a66616961605060 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.