Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13932C93FA0086B3A0DA34349FAC5B789E376D1A8E330668565D9C12D3FC4EE48573399 |
|
CONTENT
ssdeep
|
96:SZlVLZl3ZlsCY8ttnDvETmflgqDP/brDdA3lc95Ti3/vRlX7Wy10jUoXZNAFfbDp:StLf4aMTjuPjRpE7PresxhfMmUU8VCo+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8e775a23382933a |
|
VISUAL
aHash
|
c3c3dfc7c3dfc7c7 |
|
VISUAL
dHash
|
1e36363e3e3c3e1e |
|
VISUAL
wHash
|
8383cfc383cf8783 |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
1e36363e3e3c3e1e |
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.