Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14EF2C83109C46F37668302C95325B51BF391C148E32B8756B6D9871F9B8EE99CD3A728 |
|
CONTENT
ssdeep
|
768:K0xp+44MCYpUT0JydQ0PsyaGsuOvqgn4gD83/yGeyGdNPdzgK50msSIvLqTXhkLs:K0xM44MCU68GZK50mLXhkLs |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec7cd3103643397c |
|
VISUAL
aHash
|
00ff818181c3ffff |
|
VISUAL
dHash
|
8c23232327338f0f |
|
VISUAL
wHash
|
00fb818181c1ffff |
|
VISUAL
colorHash
|
0f200010002 |
|
VISUAL
cropResistant
|
cc23232737330f0f,401c606171300a00,4081a59c9c99a181,e8c9e9e5e4e67078 |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.