Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D2816330541DA87F44A3A2DC9F74AB8AF7CAC204CE67470352EC938D6AD7C83CD5594A |
|
CONTENT
ssdeep
|
96:KGb9sNYWgA9L7eAGAXsSUARphSvhSOhSAIVr:KGb9sNvxFUARpwvwOwAIF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e9934368b3e8b1c |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
2d04717171710e20 |
|
VISUAL
wHash
|
003f3c3cffbf0000 |
|
VISUAL
colorHash
|
07400030000 |
|
VISUAL
cropResistant
|
8092828282828245,2d04717171710e20 |
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 90 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)