Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D138222954AA23628E7C2D4D7666BBF733541C8D64B321C89E3877E2FC5CD4CDA26C0 |
|
CONTENT
ssdeep
|
384:gqlSfzLJIyR6tzFusuEzvNvSIUXMyXrbZs1MLiMbOlN+es0EQpUZUpgOU4EdjhPb:UR6hzvNcMoFkZ0epEQDuOU4Ca+3/h |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
838f87708fc7709c |
|
VISUAL
aHash
|
3f3f3e3f00003f3f |
|
VISUAL
dHash
|
c7e0c0e0d0cfccf0 |
|
VISUAL
wHash
|
3f3f3e3e0000273f |
|
VISUAL
colorHash
|
16000c00200 |
|
VISUAL
cropResistant
|
0f8040a0400f28c0,31f194b101e9e903,80c020a0c07e542e |
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)