Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A7E111E1C044DC3A53138AE6F7B5275F7596C345CF060A8853F892EA5BDAC60CA23A99 |
|
CONTENT
ssdeep
|
96:TkCo79ohOhHW0eGHVizWEKwvl/e1X7HlpeRX+z/J8ZViCoQPJ:QCo79ohOhHWsH0WE2FSozm/oQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be3e4d67b0908cc6 |
|
VISUAL
aHash
|
0000ffffff0000ff |
|
VISUAL
dHash
|
150131000d550800 |
|
VISUAL
wHash
|
0000ffffff0000ff |
|
VISUAL
colorHash
|
160000001c0 |
|
VISUAL
cropResistant
|
00203038302c0c10,0000000000000000,3414050901010101,010145cc49002200 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.