Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1044531A580993701C7C2C0A3B12B6E73A9D351D6030AD9BBF4935D5FCBC98DE79269 |
|
CONTENT
ssdeep
|
3072:1wzhxHbDf0hNhiuTyh777K4EHeDf0hNhPIlyh4EHeDf0hNhPIlyI:azro5I |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fc46f90237aa123d |
|
VISUAL
aHash
|
00f00000006cffdf |
|
VISUAL
dHash
|
8522292c5ccc323a |
|
VISUAL
wHash
|
80f08000867fffff |
|
VISUAL
colorHash
|
0b281001000 |
|
VISUAL
cropResistant
|
478281801094141e,678e9c70e1c18711,fcf8c08cc4e4ac8c,d2b896d646140e24,9d9cec68488ec17c,7ff8ca80921ae29c,dcddc93232333a3e,19062329690c5ccc,8084c89ea969c9c9,cf757b663c1878d1 |
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 94 techniques to evade detection by security scanners and make reverse engineering more difficult.