Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1351241E1D464DC36075385D4B7F57B2F73B1C288CB020E5422F4936EABDEDA1CA119A9 |
|
CONTENT
ssdeep
|
192:QjPTZY+gZgZ++nzYhhB2l8iVGjgFFXwKAU8F:QjtY+ww++zGBa1VGjRK58F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c848a0f28b9f97b3 |
|
VISUAL
aHash
|
f0401818f0feffff |
|
VISUAL
dHash
|
c594b072618400c0 |
|
VISUAL
wHash
|
e0400018f0fcffff |
|
VISUAL
colorHash
|
06c00010000 |
|
VISUAL
cropResistant
|
c594b072618400c0,6276198a9a0e4481,61410327c78f3cf1,fdfdfffdcf071fff,785c3e0252133a6e |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.