Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178C22E637420DC225ACF7AD8B8256354C0B79B06C7860BF5F856D3FA16ADA7EE933005 |
|
CONTENT
ssdeep
|
384:EGtuo+fIXPQQQMMMMMMMMMMMMMMMMMMMMMMMMMQMMMMMMMMMMMMMMMMMME0ufNvr:7tuoIIXVNemrOdBg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
80acd82e2b3e6b2f |
|
VISUAL
aHash
|
497c660221b87e6c |
|
VISUAL
dHash
|
95f0cccecf62bcd8 |
|
VISUAL
wHash
|
4b7c662624f86e6c |
|
VISUAL
colorHash
|
31201008040 |
|
VISUAL
cropResistant
|
95f0cccecf62bcd8 |
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 195 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)