Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1390242A1D054DD360B1281D2F7B67B2E75B2C309CB061A8453F853BA67CEDA0CB216DD |
|
CONTENT
ssdeep
|
96:TkbgwMEvzHOIfSTiJEdtmMKMAEAwvFweKX5HFHeeXGX/iS7LwMpAxtCMT8Mweo+j:QgEvzHOjOJEdYMKKSMVXzQkMAAC8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc9a4fa147a17983 |
|
VISUAL
aHash
|
ffffffffffffff00 |
|
VISUAL
dHash
|
0020303220169620 |
|
VISUAL
wHash
|
00dfcfcfc7c3c300 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
10203030282a1612,000000c000202020 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.