Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T106F261B1C28525EB21138F91E8256B6B32C7926DCA33CD2057BC4B8EF7D9DC096598C6 |
|
CONTENT
ssdeep
|
384:4FbBiFN3Y3jfF7lGtim1pk7r2PPaL6/z8oJMn9C1tTKxEzmN:gt7lAiX7U3/MC1tHzo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e9932c9c966c3633 |
|
VISUAL
aHash
|
ffe1c1f3ffc1c1c3 |
|
VISUAL
dHash
|
650b0b0321131737 |
|
VISUAL
wHash
|
ffc181e1ff8181c1 |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
650b0b0321131737 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.