Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CAB144B151ADAB7B059782C793B3572AB39AC159E50A41811AFBD7EC0FF7C80EE17101 |
|
CONTENT
ssdeep
|
96:TLXH7sKg+DyP6fybR7zwMyWKXXhzUq0gRWIoVn7ksvabmsSGwX:/37xg+xKbBzwMyW2zvRHFsvt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc33b33334cccc |
|
VISUAL
aHash
|
1838383c3c381800 |
|
VISUAL
dHash
|
7060316171707004 |
|
VISUAL
wHash
|
ff3c3c3c3c3c3c00 |
|
VISUAL
colorHash
|
38006000200 |
|
VISUAL
cropResistant
|
7060316171707004 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.