Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T111526173A600DC2E8D5B61CCF5C0A989525ED349FB3148C6B1A451BF7BC8DF128A53AD |
|
CONTENT
ssdeep
|
384:Wchcuyc+HjhfEHnc4l0D0s33egJLfMmUFCoZ:WchcTc+YEfBUs4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4649b9b646c989b |
|
VISUAL
aHash
|
e3e3e3e3f3ffffff |
|
VISUAL
dHash
|
2627262606100600 |
|
VISUAL
wHash
|
c1c1c1c1c1f7f1f0 |
|
VISUAL
colorHash
|
06000000038 |
|
VISUAL
cropResistant
|
2627262606100600,fcb37078fdffffff |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.