Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D5126263E500CD2A8D9746CCF6C09688451DC346FB3148CAB1A091FF7BC8DF1A6A97AD |
|
CONTENT
ssdeep
|
192:xv1CdSh/4K1FnVIxz0yxTMcnthWeNWb0fMmUU8VCoQP8:GShTqHfMmUFCoQP8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8101ab2b157f6b5d |
|
VISUAL
aHash
|
007e7e6e3e7fffff |
|
VISUAL
dHash
|
dbccccccd0cc00c0 |
|
VISUAL
wHash
|
002424243c7effff |
|
VISUAL
colorHash
|
06243000000 |
|
VISUAL
cropResistant
|
dbccccccd0cc00c0,2fbb2fbb33abb323,536733e3d3d3031d,a49218065751d6d6,6e381adbea240000 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.