Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T174212372E0C5DA7BA2C2D3C03EA0A31E63868294E9530702E7D2C35D4FC6E45CC11881 |
|
CONTENT
ssdeep
|
24:hRCUhP0ARuDflG5OA4OR+Ozwq7j6TMUUpBV/iDDkvb9JgL5BAtKwjH5IBa:vhRC9Yd4m+XqvSUdgAvfgLjGxFOa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9996666668c9933 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
043232323232320c |
|
VISUAL
wHash
|
f8f8f8f8d8d89880 |
|
VISUAL
colorHash
|
01002e00000 |
|
VISUAL
cropResistant
|
0000000000000000,b6b6ce8eb633b292,043232323232320c |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)