Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C03A37390C51A2B02F2D3D48761AF1AF381800CC9698AF697EDC75FAAC5E50DDB7690 |
|
CONTENT
ssdeep
|
384:slI44AdIL/sDxX8nmXOmk2zFxIGhWTa4l0cVlFVAAppkC:344Jb2t8uxIOR4l0cVfVZkC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
946ab1b363339c63 |
|
VISUAL
aHash
|
2c7c3c18003e1c3e |
|
VISUAL
dHash
|
c8f4e4a0f4f0f8f4 |
|
VISUAL
wHash
|
0c7c3c7c087e1c7e |
|
VISUAL
colorHash
|
38003008040 |
|
VISUAL
cropResistant
|
8c991b9bed8e4ac8,d990dc25233c7519,786222a2a2abe9e3,c8f4e4a0f4f0f8f4 |
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)