Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13D126233A600CD2A4D9B56CCF5C09689415DC389F73148CAB1A491FF7BC4DF0A8A97AD |
|
CONTENT
ssdeep
|
192:pz3JcBzdTZxJx6xx2McnthWeNWb80LfMmUU8VCotvQ:4BpTZB0LfMmUFCotvQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9693c6969793861 |
|
VISUAL
aHash
|
c1f7f7f9e1f7ffff |
|
VISUAL
dHash
|
130d0e130b0c1e00 |
|
VISUAL
wHash
|
81d5c1c1c1c1ddfe |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
130d0e130b0c1e00,c0202040402020c0,500c32b2b2000040 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 10 techniques to evade detection by security scanners and make reverse engineering more difficult.