Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130224233A600CD2A499B66CCF6C0A589415ED345FB3149CAA1A090FF7BD4DF079A93AD |
|
CONTENT
ssdeep
|
192:2sYcW1cC8H+YqxvFKMcnthWeNWbuOXfMmUU8VCoE:scwcC8HKSOXfMmUFCoE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f27a4e998d4c6362 |
|
VISUAL
aHash
|
80c0e0e2eeeef6ff |
|
VISUAL
dHash
|
21098d8a9acccccc |
|
VISUAL
wHash
|
80c0c0c2eee6e6ff |
|
VISUAL
colorHash
|
07c00010000 |
|
VISUAL
cropResistant
|
21098d8a9acccccc,3d190547ce0b3624,e696ac9c9ef2b24f |
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.