Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146F152A1D458DD320B1281C6F7F67B6BB9B2C355CB010A8453F853BA67CFCA1C62269D |
|
CONTENT
ssdeep
|
96:TkfW42zHO7fSTiUXnvwvFeehXSHFFbehX1X/dMo+AT431:QfW42zHO2OUXn+kmDXiC8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc807e83fe01fc81 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
003030200000c020 |
|
VISUAL
wHash
|
70dfcfdfff000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0030303020000000,0000000000c02020 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.