Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E3D130F1D044DD37035386D9A7BA6B1B7291C349CF031A4853F883AA5FDACA0CF21699 |
|
CONTENT
ssdeep
|
96:Tk9nfzD71tDlt8v67McdSSS8cti8wvFtQeBXKHFVepX9X/Lq2J:Q9nfzD715lt8iIGAkTEWDXzqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b04bcf1cc747c3 |
|
VISUAL
aHash
|
ffc3c3c3c3ffff00 |
|
VISUAL
dHash
|
1696969696400000 |
|
VISUAL
wHash
|
03030303c3ffff00 |
|
VISUAL
colorHash
|
07000007000 |
|
VISUAL
cropResistant
|
1696969696000400,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.