Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175D1637920650EBB014389F175A5EEABA188C355CFAB958C63ED506F37CAC108ED03B8 |
|
CONTENT
ssdeep
|
96:TTgYE5pYDNP/bplPa2RtKEDS0AaxRat2TNb2T8VGHL:Hg5YPtDbnx4xr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93129be1646f68d5 |
|
VISUAL
aHash
|
2c1c0c86e6c1fe9c |
|
VISUAL
dHash
|
58585c2c8e9a5a30 |
|
VISUAL
wHash
|
2c1c0c8eeec0fedc |
|
VISUAL
colorHash
|
16600000040 |
|
VISUAL
cropResistant
|
d2d0a0a4d4e6e6e6,c3c9d9e8c8cec219,cc088c9c08d4f1f0,e6666624988186a0,58585c2c8e9a5a30 |
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 76 techniques to evade detection by security scanners and make reverse engineering more difficult.