Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T134033172A180A9370282C1C5A6B17F9EA2C2834FDB134B5693F5835E7FD3C90ED19669 |
|
CONTENT
ssdeep
|
384:dLd0zKYo6aGVsE0qhawHwP11MmIGGfaMv+9YGXcIZ+z7N43c:Rd0zKYo6LB0qh41qPGGfaMvtIZ+zQc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9106e62331f84fcf |
|
VISUAL
aHash
|
000018080020ffff |
|
VISUAL
dHash
|
4ce4f09ada5b34be |
|
VISUAL
wHash
|
00003e0a08ffffff |
|
VISUAL
colorHash
|
0bc00000000 |
|
VISUAL
cropResistant
|
9c95d43074a8b8ba,a2aac0f030b0d0d0,5a5b53002126b698,4e6cf4709a9a5a5b |
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 19 techniques to evade detection by security scanners and make reverse engineering more difficult.