Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D163457212876E3F208382D1836CE75BD7C2D609D7678586EBE8835B26C7DE0ED39164 |
|
CONTENT
ssdeep
|
1536:KVEBi+MvmDcVv0u4U6MT+U0liwAZr01Kx8RQ83R:pbbl1p |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e84187bc156cbcf1 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
86d183331c33270c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06010000e00 |
|
VISUAL
cropResistant
|
9154569b922b2b44,38789d9c8c8c8d8f,82a28a969696a882,c53a382323400f4c,968fe9d7832b3397 |
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)