Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T175437531A0B68A37415FB1D2A27A2B1EA3D7C346C65717D1A7FA83AD4FC6D28DC13241 |
|
CONTENT
ssdeep
|
384:XPgjLnsXV+XkVGQNkKUKQK4iKLmNZNFxlhvx/N2NgNzNeNkSe1a5NZNrcWgd04FW:IjzslVG8kpFObxaeIrc64FyJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f8077cf206fc6906 |
|
VISUAL
aHash
|
0008083c7cc8c0c0 |
|
VISUAL
dHash
|
39da33d0cc19180c |
|
VISUAL
wHash
|
9c181c7c7cfcccc4 |
|
VISUAL
colorHash
|
30641000000 |
|
VISUAL
cropResistant
|
1b9786ccf0d09232,9991992999696981,39da33d0cc19180c |
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.