Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190E13F311098AE37A5D781E5A3F6671F30D1C342E68B630096FD83CD5BC9E94CE51AA5 |
|
CONTENT
ssdeep
|
96:ySz1dBklFFwnw3mEuXx4V+TJQkRq46O3WsXUvc:yS/ORww3mnXxdlQyosWsXUk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b30c0c0ce6f3f2d9 |
|
VISUAL
aHash
|
0000ffe7e7e7e7e7 |
|
VISUAL
dHash
|
abb3084d4d4d4d4d |
|
VISUAL
wHash
|
0000cfe3c3efe7c3 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
000808080c4c0089,0c4c4d4c4d4d4c4d,ffcfb3b3f3b3cfff,419024b2b2b24c31,419024b2b2b24c31,419024b2b2b24c31 |
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)