Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C9329B43A58F5665AF34393109F1103B379562B580E4C20B354ECAE76BCC9BA067FDA |
|
CONTENT
ssdeep
|
1536:jAXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:jAXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3395c664c4c7c39 |
|
VISUAL
aHash
|
00e7e7e7e7e7e7ff |
|
VISUAL
dHash
|
160c0c0c0c0c0c08 |
|
VISUAL
wHash
|
00e7e7e7e0e0e4e4 |
|
VISUAL
colorHash
|
07006000000 |
|
VISUAL
cropResistant
|
160c0c0c0c0c0c08 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)