Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D34287F49054A83B42B392E2B2B7777732E0864DDE83164452FDD3A89FE6C64FE0A415 |
|
CONTENT
ssdeep
|
192:ol6rQtS7ZqVX69SoBW2U5NHKSpEyDmUWrSgonnEP9:o7SdqVGS5vnF8Bc+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7cf3230c9cdc938 |
|
VISUAL
aHash
|
7870787800000060 |
|
VISUAL
dHash
|
c0c4d2d20c4042c2 |
|
VISUAL
wHash
|
ff76787860602173 |
|
VISUAL
colorHash
|
38000000380 |
|
VISUAL
cropResistant
|
c0c4d2d20c4042c2 |
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 24 techniques to evade detection by security scanners and make reverse engineering more difficult.