Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CF2317112173B6B23473ED761523E9684C5820CC623DD4863BFBE622AFDDE051E26A3 |
|
CONTENT
ssdeep
|
384:mKyKfYvRctW88qPaf+5WDRQeMpa0h5tAN2aID86gBis:md2YJc08vHpaGc2lD86en |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9352b7de3cb4442c |
|
VISUAL
aHash
|
0e2c6c0c083e3f07 |
|
VISUAL
dHash
|
dcc8d8d8b0f4eed6 |
|
VISUAL
wHash
|
0e7c6e0c187e3f07 |
|
VISUAL
colorHash
|
38003200000 |
|
VISUAL
cropResistant
|
c5d2e5aba5d4c202,00200c7971310c20,dcc8d8d8b0f4eed6 |
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 329 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)