Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBC162E1C408CD36471285D5F7F96B1BA5D2C359CB05098453FC42EBABDFC60CA2679A |
|
CONTENT
ssdeep
|
96:TkdE4zdaPfSThiwvFDehXyHF/exX8z/JaCrJ:QdE4zdaidCsUezcC1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd38c48393d46c6c |
|
VISUAL
aHash
|
ffc381ffe7ffe7ff |
|
VISUAL
dHash
|
000f2b000e0c0c04 |
|
VISUAL
wHash
|
ffc280c7e7e7c200 |
|
VISUAL
colorHash
|
07000040006 |
|
VISUAL
cropResistant
|
000f2b000e0c0c04,2144a6a6b2a4a496 |
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.