Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C934FEB062528BBB21DBC7F662756B3BA2C9C34ECD17D245A3E893061FC6C82DD51760 |
|
CONTENT
ssdeep
|
768:WhIhgUwUSYQuNwBoPZrOfDgWl9FnDtb7C6FW+k0iU3GXGxBZqsdJBCTnJclG2Zba:Gt41JTP1b0bBzb7gAQqGHw1LbAhckYo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad52ad56a855aaa5 |
|
VISUAL
aHash
|
0000000000000303 |
|
VISUAL
dHash
|
0000000000000203 |
|
VISUAL
wHash
|
0f0f0f1f1c0c0f0f |
|
VISUAL
colorHash
|
38002008002 |
|
VISUAL
cropResistant
|
0000000000000203 |
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 70 techniques to evade detection by security scanners and make reverse engineering more difficult.