Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1734320646846FC3FA1C78AD59172536AB2E28740CE638685BEF083F94BDAD5DDF22005 |
|
CONTENT
ssdeep
|
1536:TsIxv1qaBdz2whF2v8BvhUv1Fvylv6jvl3oYG5RzHl6SvXJ79F:TAaBdywhF2v8BvhUv1Fvylv6jvlO5RzJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b943453e474d4739 |
|
VISUAL
aHash
|
00fff9ff878787ff |
|
VISUAL
dHash
|
d40b833b3a3e3e82 |
|
VISUAL
wHash
|
00e3f989838787fe |
|
VISUAL
colorHash
|
0e200030000 |
|
VISUAL
cropResistant
|
4f0b033b3a3e3e82,c029d4d4d4c43400,636772327866666e |
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 67 techniques to evade detection by security scanners and make reverse engineering more difficult.