Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145D144339014D91A5EA7D24CFAC1FA9C9296D347EB708883B2E8606F5BC0DF5946273D |
|
CONTENT
ssdeep
|
96:EXutgXbXu5X2XuQCH/R1sFM5+tnekh+LCfMmORR1E8VConIFAJ+XTbMll:+mSzqwkoM5hAVfMmUU8VCoujbY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9512ce69ea1fc5e0 |
|
VISUAL
aHash
|
00060e0a02020fff |
|
VISUAL
dHash
|
a19e8a9a9a1a5a00 |
|
VISUAL
wHash
|
000e6f0a4a0affff |
|
VISUAL
colorHash
|
33001c08000 |
|
VISUAL
cropResistant
|
9eca9a9a9a1a5e00,0000000000000000,d0d9d2b4b063048a,82694894b4b65208,e19e9aca9a9abada |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)