Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15E5331E0A2043E36465F85C8DF663732A0E0C9C7DE9E210051E95BB85FE6DE5EC8E571 |
|
CONTENT
ssdeep
|
1536:vIVsedkIvIfIaI7cRI9IfIFIFIoIcujIcomIcKM:vIOrIvIfIaI7qI9IfIFIFIoI1IiI+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b132cccdc98d3333 |
|
VISUAL
aHash
|
fbc3c3c3ffdbfbff |
|
VISUAL
dHash
|
130f0e0f1e321618 |
|
VISUAL
wHash
|
8bc183c3c383c3ef |
|
VISUAL
colorHash
|
07201008001 |
|
VISUAL
cropResistant
|
130f0e0f1e321618,60e2e5d59d95370d |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)