Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E4143A091954C278223C2E8B3DEA71621D5C5D6CE071704A7FDD7ED2EEAC16FC52684 |
|
CONTENT
ssdeep
|
24:hR/CfD3iDfeDVADnS2sZVji5t6avETuC6uYdW9iwNdW6dTl1D+2hhNb5pzjZT6O1:TG3e0IS2O2/IRJ1dTzDfh75pXZT5jb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333880e66e6d959 |
|
VISUAL
aHash
|
66e7cfe700ffffff |
|
VISUAL
dHash
|
8c0e960c4d300000 |
|
VISUAL
wHash
|
40c3030300ff3c3c |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8c0e960c4d300000 |
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)