Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EA3DD23412975274437C2C1346A5B3BD1A6D99FFEE70A010EECCBFA6AF9CA0741B159 |
|
CONTENT
ssdeep
|
768:PeySkZstpR4nXF6YjOpSpFlTC6rrr407k2zr11XJu82p02Pl12:PeySketpR4nXBKpSpFl26vXbfnsk2Pz2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cfe0971a91c5c2b9 |
|
VISUAL
aHash
|
fcb1717111143fbf |
|
VISUAL
dHash
|
6063c3c3736d627c |
|
VISUAL
wHash
|
fcb1717111101f3f |
|
VISUAL
colorHash
|
1ec00048000 |
|
VISUAL
cropResistant
|
b139a4ac99a9a992,6063c3c3736d627c |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.