Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A441217160005C37E6C3C6EC13C2AB2B37C6C399C7870D05A6F487AE9BFAE448D1A599 |
|
CONTENT
ssdeep
|
48:TwLxFORiGVnKHmHxuuD+XjHTVeWyaIMQm:TwLxFUJKVW+XjHTVRyaIM5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c27f68c9c58a719 |
|
VISUAL
aHash
|
3f000018181fd8ff |
|
VISUAL
dHash
|
6df0f0b2b2f2b3b1 |
|
VISUAL
wHash
|
3f080018181fffff |
|
VISUAL
colorHash
|
0e007000000 |
|
VISUAL
cropResistant
|
3bab39b89b996161,f2daf0d89bc6cede,30c0c0c0a402068b,383800080c0c0000,6df0f0b2b2f233b1 |
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)