Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12DB2C973711D2436229785C9E291760CD2C6DE87CA4A58D4B6F9C36CCBF2DB0F953A28 |
|
CONTENT
ssdeep
|
384:xHiaTtzrZb8o7B/AymY/eg7eMGeKxpwe4deckeEeeAVO48oc:L7B/AppoO4c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3628c9cbd799898 |
|
VISUAL
aHash
|
f760e0e0ffffffff |
|
VISUAL
dHash
|
4ccccc4c0d624033 |
|
VISUAL
wHash
|
002040009fffffff |
|
VISUAL
colorHash
|
06000038200 |
|
VISUAL
cropResistant
|
4ccccc4c0d624033,7f7f9f9f7f7f9fe6,942652ab63e3aaaa |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.