Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E8E140E1C448ED37436285D5BBF57B0BB6D2C305CB12098453F883AB9BDAC60CE16699 |
|
CONTENT
ssdeep
|
96:TkIkzYh7MSvuSTItkQ8v67MYXwyt17ulfhF/9XDHFdpXKX/DJAbUElGJ:QIkzYhhTMP8iIowyz7ulp8XFKUElA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b838c7c7c7383839 |
|
VISUAL
aHash
|
ffc787c7ffffffff |
|
VISUAL
dHash
|
081cbebc00100000 |
|
VISUAL
wHash
|
00c303030f0f0f0f |
|
VISUAL
colorHash
|
07401040040 |
|
VISUAL
cropResistant
|
081cbebc00100000,f1b16c6eaead1c3e |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.