Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFA3AA23411975274437C2D1347A5B3BD1A6C99FFAE70E010EDCCBEA6AF9CA0745A22D |
|
CONTENT
ssdeep
|
768:dtpR4nXF6YjOpSpFlTC6rr4d4JdnojAXxX:dtpR4nXBKpSpFl26v4KnojAXxX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d253ec6c989343ce |
|
VISUAL
aHash
|
00002c0c0000ffff |
|
VISUAL
dHash
|
14ccc9d9f8602c24 |
|
VISUAL
wHash
|
00247c7c3c00ffff |
|
VISUAL
colorHash
|
32200010040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,4026482426364616,1254ccc9d9d8e068 |
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.