Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BC4EAF112B073F4A207E7E8E53A7236B69734FDAB52CB58C3A45FD0A1915998C89DC0 |
|
CONTENT
ssdeep
|
6144:rkc7i7i7i7i7i7i7i7i7i7i7i7i7i7i7i7i7i7i7i7i7i7i7t:QQuuuuuuuuuuuuuuuuuuuuuut |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6c30cbc62bc49ae |
|
VISUAL
aHash
|
ffffffe7e7ffff00 |
|
VISUAL
dHash
|
3468686868142332 |
|
VISUAL
wHash
|
9efee4e4e7c38100 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
3468686868942b23,0000000000003030 |
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 736 techniques to evade detection by security scanners and make reverse engineering more difficult.