Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D152CF0E35C15FC850F47E98A31697C336E30F7B912413889BCAA785553AA8CE57CA9 |
|
CONTENT
ssdeep
|
3072:H3ZNeLTpSnScVi1DVCqyTYUegDxc9UqgPFZ4AgtNsHOxwebvvcavm7x:HCCS9ypTK7CkvvEavq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f046e989437cc771 |
|
VISUAL
aHash
|
3000000400ffdfff |
|
VISUAL
dHash
|
e2ca8ccc8c333b1b |
|
VISUAL
wHash
|
00ff000000ffffff |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
8080828282828080,0000800e0ec00000,38686e9e9e8e8e96,68b49cec965676b6,211b2b33371b5b1b,c2d20cd3e2e2f20c,cacc8cccccec8c98,0726071636366471,7871573e1d9bd3cf,27264b653ea6e451,06062f7366127461 |
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 146 techniques to evade detection by security scanners and make reverse engineering more difficult.