Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10873FA60630173692D330F78F34A71A5E1AE9349E6E7246DB2A88350B6C707AC357DE9 |
|
CONTENT
ssdeep
|
1536:Dma0wA3ins+atfo3E4tpC+8S4q8Z7U1c/jDAYJ7wlB/36OnA3mAutqfB3no:AQYJ7Xo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b19e0c3333cc8e9b |
|
VISUAL
aHash
|
87c7ffe3c7c3c3c3 |
|
VISUAL
dHash
|
0d0e061e5e1e1616 |
|
VISUAL
wHash
|
85c3e3e3c3c3c383 |
|
VISUAL
colorHash
|
07400000180 |
|
VISUAL
cropResistant
|
0d0e061e5e1e1616 |
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 394 techniques to evade detection by security scanners and make reverse engineering more difficult.