Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CB93AA23411975274437C2C1347A6B3BD1A69A9FFAE70A410EECCBFA2BF9C90745B119 |
|
CONTENT
ssdeep
|
768:avKttpR4nXF6YjOpSpFlTC6rr7KGcR0kTItXm5Dk14p0iAV4:avAtpR4nXBKpSpFl26veGBk8dS4iAV4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0e13f1ad9e4c267 |
|
VISUAL
aHash
|
40c0f0f87814003c |
|
VISUAL
dHash
|
9810c3c3d0ad6848 |
|
VISUAL
wHash
|
c8e8f0f8fc7410bc |
|
VISUAL
colorHash
|
30200050000 |
|
VISUAL
cropResistant
|
9810c3c3d0ad6848 |
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.