Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139124023A600CD2A499B56CCF1C49688451EC346FB3149CAB1B491FF7BC4DF0699A79E |
|
CONTENT
ssdeep
|
192:Gl3JYYc9cOchEyTLx6AMcnthWeNWbMZwfMmUU8VCoNh:wc9cOchEeZwfMmUFCoNh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2d588dc2277a8dd |
|
VISUAL
aHash
|
ffffffe700000000 |
|
VISUAL
dHash
|
1028084c32040001 |
|
VISUAL
wHash
|
ffffffe788000000 |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
1028084c32040001 |
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.