Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171F164B1E050DD370B1281D6B7B67B2FB5A1C305CB010E5423F853BA5BCFDA1CA22A99 |
|
CONTENT
ssdeep
|
96:TkfkKzYt3eSTJ8v678d0tc7BvIbyRFIeXPHkD6Xkp/M4oST5+AT431:QfkKzYtr98iPK7BQbyhopE4hP8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a739c1f42e7f00f0 |
|
VISUAL
aHash
|
ffff010087ffff7f |
|
VISUAL
dHash
|
0190d76f0f0c12c8 |
|
VISUAL
wHash
|
fc5c000000f7ff0f |
|
VISUAL
colorHash
|
07000250001 |
|
VISUAL
cropResistant
|
0190d76f0f0c12c8,0939617131013013,317161e161210939 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.