Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C783D860032808FE7067E3C5EA0CBB15B5C5A57EEF0B06D5BAA9D16DB4C9CB5C47234A |
|
CONTENT
ssdeep
|
1536:4VZqZnb+emlUcuXw/tKO2HL/9ZD0Lipt98ZrvO2wmH:4yZnb+emlUcug/tlUF2j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3ae113e56356e43 |
|
VISUAL
aHash
|
0079ffffffff047c |
|
VISUAL
dHash
|
6ce3c34d6123d4d4 |
|
VISUAL
wHash
|
007371fff4ff0028 |
|
VISUAL
colorHash
|
16200018000 |
|
VISUAL
cropResistant
|
671785aac84b2323,6ce3c34d6123d4d4 |
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 1014 techniques to evade detection by security scanners and make reverse engineering more difficult.