Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131A3CC23421935274437C2C0347A5B3BD1A6D95FFAE70A414EDCCBEB2AF9CA0746A25D |
|
CONTENT
ssdeep
|
768:bYP1tpR4nXF6YjOpSpFlTC6rrxkNlrcWCmhXrBQV/zX:bYP1tpR4nXBKpSpFl26vqN9EmVBQVbX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d252ed6d98124ecd |
|
VISUAL
aHash
|
00003c2c0400ffff |
|
VISUAL
dHash
|
14c4c8d9d8602824 |
|
VISUAL
wHash
|
00247c7c3c00ffff |
|
VISUAL
colorHash
|
3a200010040 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000000e060600040,000080c080a00080,0802c86c36649686,124cccc9d9d8e068 |
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.