Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16F22C6336200962E5E7B829DFBD1F28D5366E345E23049C3B1C8417EAEC4EF1B566768 |
|
CONTENT
ssdeep
|
192:7HcObSnHpkHbadqY+aCml+3FRa1dK9MODG3xhkDhCO960Gh+wHkUeiOaMsOhddc4:tgCy49ux7J9tAefMmUFCor |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92ed6d919285a8ed |
|
VISUAL
aHash
|
fb00046e4c4e0001 |
|
VISUAL
dHash
|
4330888888880c89 |
|
VISUAL
wHash
|
ff004eee7e4e0e01 |
|
VISUAL
colorHash
|
31000c08000 |
|
VISUAL
cropResistant
|
0004202f9f1c4004,aa32aa2ab2b2b2cc,4330888888880c89 |
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.