Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12742FF3094D57A7F05AB82E793771B16B3E4802AD5164D82A3FC8B5E1F49DA0FD035CA |
|
CONTENT
ssdeep
|
192:+D5hLpnJ2BWDbga80KZKBOe5W5CaTIm0D:+D7LrDUa81UaT0D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212eded037ced21 |
|
VISUAL
aHash
|
0006060606ffffff |
|
VISUAL
dHash
|
fcecfccccc3c36c9 |
|
VISUAL
wHash
|
0006060606ffffff |
|
VISUAL
colorHash
|
0600f000000 |
|
VISUAL
cropResistant
|
fcecfccccc3c36c9,d5951755b5d5b5bb,d480928a8ab2c4d4,fffbf2defff7e767 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.