Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19272A3B0A391073B81678EE2F5A75B69F1E9D74DD7279429F2FC034A83CBC50A990349 |
|
CONTENT
ssdeep
|
192:tv12z48wXCmvP48IvVMfvhJ1S2ynbqtQz+cuvnXfXbEalVE5RVs:tOo3o8I9MBJ16bqtWF8XfzlVE5o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
89993399b3339999 |
|
VISUAL
aHash
|
0b18181818180018 |
|
VISUAL
dHash
|
1b32323232b22432 |
|
VISUAL
wHash
|
1b19181838381818 |
|
VISUAL
colorHash
|
38018010200 |
|
VISUAL
cropResistant
|
0020522032300810,1b32323232b22432 |
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 551 techniques to evade detection by security scanners and make reverse engineering more difficult.