Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18921C8710043DD2EA30269D803D3F43EACC7C247CB6E240562F5AA6D75E5E3CC969578 |
|
CONTENT
ssdeep
|
24:hMtwc7ZMwWIfDMkKBuZZ+sKuGgEdk7gf1EiYN9uENR2G0/co2bEGu4krOU:mtWwWIrEvVgs08yHxE2b/kOU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a11f7c6bd6c04c1e |
|
VISUAL
aHash
|
00031fff07036f5e |
|
VISUAL
dHash
|
6bdfeecade9babaa |
|
VISUAL
wHash
|
00030fff07037f5f |
|
VISUAL
colorHash
|
02043000040 |
|
VISUAL
cropResistant
|
e7d6cef16c9fdeef,a8149600f0f45452,6bdfeecade9babaa,9e39383c9495c9c9 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
JavaScript intercepts form submissions before they reach the fake backend. This allows real-time credential harvesting and validation without server round-trips.
Pages with identical visual appearance (based on perceptual hash)