Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126311D2100988C3785A791E4A7948A0C36D6C756CE9B1A00E7FC8BEE6AF2DD5CE56354 |
|
CONTENT
ssdeep
|
24:hR/Cn/xWqvmhR2fRwN9uZ9aSZKbmRlrZauPDyMg/MG:TbqvmDrHw2bmRlsuDy9/MG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
99d826e4d9a4d8e3 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
504cb2b2b2b2cf7b |
|
VISUAL
wHash
|
f87cfebf5f180000 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
bab8e2d2e062a2e0,504cb2b2b2b2cf7b |
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)