Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11393A923421975274437C2D134BA5B3BD1E6D99FFAE70A010EECCBFA6AF9C90741A119 |
|
CONTENT
ssdeep
|
768:v6/rtpR4nXF6YjOpSpFlTC6rr7Ee7QMoMKpoqRvyp0xxo/:v6TtpR4nXBKpSpFl26v5MMKuqR1xxo/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1ef1333c9c0c63d |
|
VISUAL
aHash
|
2888f1f189e4623c |
|
VISUAL
dHash
|
d25be3c332ad96d0 |
|
VISUAL
wHash
|
2889f1f1b8f4563c |
|
VISUAL
colorHash
|
39001640008 |
|
VISUAL
cropResistant
|
d25be3c332ad96d0 |
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.