Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C93BA23411979274437C6C1346A5B3BD1B6DA9FFAE70A010EECCBFA6AF9C90741B119 |
|
CONTENT
ssdeep
|
768:YvM1vNutpR4nXF6YjOpSpFlTC6rrr8afwucgKqpX5iep0Xzgy:YvM1votpR4nXBKpSpFl26vDHtNx5MXcy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e261103ee9e5661f |
|
VISUAL
aHash
|
404870f1fda46040 |
|
VISUAL
dHash
|
9c98c2c3316dc484 |
|
VISUAL
wHash
|
464870f1fdf56066 |
|
VISUAL
colorHash
|
30c00000080 |
|
VISUAL
cropResistant
|
9c98c2c3316dc484 |
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 68 techniques to evade detection by security scanners and make reverse engineering more difficult.