Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130423333A040C52E4EAB92EDEAC4F769615DC645FB30C48259F9813F9B81EED682136D |
|
CONTENT
ssdeep
|
384:GSFljl1/sidvABAvJ77ES6iceYPGWMfMmUFCosS:FjlBiBAvJ77ES6iceY6fBUsbS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b979c484699b93c6 |
|
VISUAL
aHash
|
81818181c3ffffff |
|
VISUAL
dHash
|
23270b2b27c86bfc |
|
VISUAL
wHash
|
81818181813fffff |
|
VISUAL
colorHash
|
17000e00000 |
|
VISUAL
cropResistant
|
23270b2b27c86bfc,1fdfcfaee6c6d0e0,436c82868c8ca802 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.