Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11654CF234159692A4437C3C03479AB7AD1A6DE4BFAA70A014FECC7F73AF9C50741A22D |
|
CONTENT
ssdeep
|
1536:g2ncRr5UgQmTa3MZo+Hd1+T08LIzXhkd+Smfu4/ZT4oU5ys0b+NI9CD1xyr5VqsP:g2nmOQ9MfQ121xyr5Vqs4YN5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba5af4b5110c1ed6 |
|
VISUAL
aHash
|
00800001fffffbff |
|
VISUAL
dHash
|
9c4d696ba937270c |
|
VISUAL
wHash
|
00800101ffdff3ff |
|
VISUAL
colorHash
|
06002600008 |
|
VISUAL
cropResistant
|
9c4d696ba937270c,015a7a4a00303130,0081618191410181,0001010101010100,8382212143439286,5212adadad367222,5c26e627474d1387 |
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)