Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1915071909A522F030183D2D2E6FB3EA5E6C24ADB601E91D0E847EFD694F66F06314D |
|
CONTENT
ssdeep
|
48:Ld6LzYv1JQ3OjbPTNmTNMZcTn/6aTNgmwNP0ENiSVVgoxeqPzitfGAXOIUtGLqP8:JzZL8/Cd0EN7Y2PziFGoOIUtGstUQavN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccd873e466261b99 |
|
VISUAL
aHash
|
5a58181818181800 |
|
VISUAL
dHash
|
b2b2b234b2b2b2b2 |
|
VISUAL
wHash
|
dbda589aff181818 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
fefefbcfcffbfefe,b2b2b234b2b2b2b2 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.