Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113517CB4107CAE3757178CD851D7EB1630CFD60ADE8A280077F862F90BCADA5D9199A2 |
|
CONTENT
ssdeep
|
48:TSljFxK19ygZNJJxQH9lPJQxkkrG6xKwhJRvqW56c8hBLmT3w7:TS29ygZXLQdlxqZZhHvh56c8hBLmTg7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc663399cc66cc99 |
|
VISUAL
aHash
|
0000181818180000 |
|
VISUAL
dHash
|
1008303032320c10 |
|
VISUAL
wHash
|
303038383c3c3c3c |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
1008303032320c10 |
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 15 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)