Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12E43573162085D3DB15382D49B35B37F33698296E60F032496FE4378D68AED8DE37698 |
|
CONTENT
ssdeep
|
1536:sII9YOVJ957d20JlGgYwOagwOAUlT+WtgYwLs:pA5GLw14tLwQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
885d266273d9cc73 |
|
VISUAL
aHash
|
0018181818181800 |
|
VISUAL
dHash
|
4cb2b2b2b2b2b24c |
|
VISUAL
wHash
|
01191b1b1f1f1f1f |
|
VISUAL
colorHash
|
3800000001b |
|
VISUAL
cropResistant
|
cc8e967960332380,4cb2b2b2b2b2b24c |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.