Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5449C234159792A4437C3C02479AB7AD5A6DE4BFAA70A404FECC7F73AF9C50741A22D |
|
CONTENT
ssdeep
|
1536:wUGbRisUgQmTa3MZo+Hd1+T05sIpDTSd+Smfu4/ZT4oU5ys0GCaqRhCIqDKIwmvS:wUGVOQ95qfQ1AOqD4YN8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba5af4f5110c1e96 |
|
VISUAL
aHash
|
00800001fffffbff |
|
VISUAL
dHash
|
8c49696b3937270c |
|
VISUAL
wHash
|
00800001fffff3ff |
|
VISUAL
colorHash
|
06002600008 |
|
VISUAL
cropResistant
|
8c49696b3937270c,0150564200703930,0081618191410181,0000010140014100,599a9b4555ecaca8,8382212143439286,5c26e627474d1387 |
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.
Pages with identical visual appearance (based on perceptual hash)