Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D73727212427F3F108346D1E758E75DE386E649C7A7898AD7E8435B2BC6DE0DC3A0A4 |
|
CONTENT
ssdeep
|
1536:nP2umZWDcd2004cu6M8yr0XDGbbPMo0hxVuz8tf:qFUCnPGVf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e850a6be346eb692 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
94d38b131833270e |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
21da98d9d1d9989a,8995594935533335,7555471223232b2d,38789d9c8c8c8d8f,b0667395b5494b4f,82a28ecccc8ca282,851238272700860e,8c83b3c98b2b1393 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)