Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B154BE234159692A4437C3C03479AB7AD1A6DE8BFAA70A014FECC7F77AF9C50741A21D |
|
CONTENT
ssdeep
|
1536:xRqKUgQmTa3MZo+Hd1+40Ze14w8d+Smfu4/ZT4oU5yd0x4fbdCmxrl0DaX87SEKU:JOQotfQw8xrl0DI87n4Y4+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
aa5af4f5110c1ed6 |
|
VISUAL
aHash
|
00800001fffffbff |
|
VISUAL
dHash
|
9c4d792be937270c |
|
VISUAL
wHash
|
00800101ffdff3ff |
|
VISUAL
colorHash
|
06002600008 |
|
VISUAL
cropResistant
|
9c4d792be937270c,016a6a2804080808,0081618191410181,0001010140004100,8382212143439286,5d4d56232396ccdc,5c26e627474d1387 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.