Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13223723260086A37029381E9673D4B5BE7E1E398C9530249B2F9C76D6FC3C64EE271B5 |
|
CONTENT
ssdeep
|
768:v1ykJTlPNeaNnCAq3GMlIBNcCumidJ6LhzfMc0zZY9DxKWIkdJC0Spz912LAKd:v1ykJTlPNeaz7NiDyNfJCixgWIUQfpvm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93646c9bc6649bb8 |
|
VISUAL
aHash
|
0000177f2d2d2f03 |
|
VISUAL
dHash
|
d8ffe7c9d9d9d9f7 |
|
VISUAL
wHash
|
00000f7f7f6f0f0f |
|
VISUAL
colorHash
|
080000001c0 |
|
VISUAL
cropResistant
|
92daa0dcd8d8dcf4,d8ffe7c9d9d9d9f7 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.