Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138A2F87250B16C7F172A83CBC6419AD9F187874EC6B0E8C5D79BC6163399EF9709221C |
|
CONTENT
ssdeep
|
384:QsnjZluC0KGvx/lmMqnBMSqBJiFB8AeX9gb7b:QArn4/l9qBma0gb3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6b23ac939696d61 |
|
VISUAL
aHash
|
007e343c7c787808 |
|
VISUAL
dHash
|
c8cdc5e4c4c0c26a |
|
VISUAL
wHash
|
207c7c7c7c787838 |
|
VISUAL
colorHash
|
07400008040 |
|
VISUAL
cropResistant
|
c8cdc5e4c4c0c26a |
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 949 techniques to evade detection by security scanners and make reverse engineering more difficult.