Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CE51D2F48041D46B029B12E2A1361640A9F0BF6CD717591975FDC61EBE4AFA0DF23934 |
|
CONTENT
ssdeep
|
48:TVaR68gReMERBNeZBFVWuZ0SMWuZQyMWuZ0gMWuZuCMWuZ01igx:TVQgQRjQhZGZQfZQZuPZEx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93c46c9ae4a493de |
|
VISUAL
aHash
|
ff0c0c7c2c0c0c00 |
|
VISUAL
dHash
|
c4d9d8d8d9d95926 |
|
VISUAL
wHash
|
ff3c6c7e6c0c3c00 |
|
VISUAL
colorHash
|
02000000180 |
|
VISUAL
cropResistant
|
0a0484dcdcd41422,5a5a5ada5a5a5a5a,ce33333034a59962,c2d9d8d9d9d97906,48d4697172306914 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.