Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AB936933421935270537C2D530A99B77D2969E4FFAA70A010EECD7FB2BEACA0745B119 |
|
CONTENT
ssdeep
|
768:gEIICv/a7hYtytHn9fLxZ/DFTksPhwfjTOIhIEBa4QuViUYg:gEIIR1ZRTksPSGIhIEBa4QuoUYg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3343c99c3c6a6 |
|
VISUAL
aHash
|
02006c7c7c54007c |
|
VISUAL
dHash
|
d4c5c9dbd1f46cd5 |
|
VISUAL
wHash
|
46007c7c7d76347c |
|
VISUAL
colorHash
|
38002600040 |
|
VISUAL
cropResistant
|
d4c5c9dbd1f46cd5 |
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 3422 techniques to evade detection by security scanners and make reverse engineering more difficult.