Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D20213D0D044DC3B631385E6B7B6275F7595C345CF020E9863F8A2FA5BDACA0C923A99 |
|
CONTENT
ssdeep
|
192:QUq7mohOlzH0X1nh3JhU3DdcCc5zdhIFh8SQR:QUbQh3nU3DdBQI789 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cbc1434b813fb4bc |
|
VISUAL
aHash
|
7c00ffffff0000ff |
|
VISUAL
dHash
|
d8d1a5f4ab696995 |
|
VISUAL
wHash
|
2800cfffff0000ff |
|
VISUAL
colorHash
|
07000000e00 |
|
VISUAL
cropResistant
|
d8d1a5f4ab696995,124d695252521c3d,0100000000000000,ccc4e5a72cd87c7c,b4b4b020ace86b94,c0c894eaeab58a80 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.