Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E653E8211281AA2F29D353E06760EB45AB46F344D36F878D63FC824B77DAC61FC661B4 |
|
CONTENT
ssdeep
|
768:URH9eeObJc3N0JA/4kN0kK8JN0aMirhQPQdiKKa2N0ShMDqTSR:HJK0JOZ0k/03MhQP4p20v+SR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b346b9cc1a3bc513 |
|
VISUAL
aHash
|
0000200004ffcfcf |
|
VISUAL
dHash
|
a8cdccc8cc3e1f3b |
|
VISUAL
wHash
|
006464046effcfcf |
|
VISUAL
colorHash
|
3220000000e |
|
VISUAL
cropResistant
|
18063f1e3b3b3b3b,b8e5cdc8ccc8cccc,0100000000000000 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.