Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A6517565C009DD2B9274C0D4E571A32C96C9834993130B88A3EC473C27EB9B6DC6FEC8 |
|
CONTENT
ssdeep
|
48:OyK+fELLQ8mHDQeMt5MSjWAUf1sHcKtub8CXSL5fh6qLv:PKrt5Mvq8KtuXoNhhv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8236890e77997d33 |
|
VISUAL
aHash
|
070f0707271f3f7f |
|
VISUAL
dHash
|
fefdedeaecf5ebd2 |
|
VISUAL
wHash
|
0307071f071f1f3f |
|
VISUAL
colorHash
|
07001010040 |
|
VISUAL
cropResistant
|
fefdedeaecf5ebd2 |
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 42 techniques to evade detection by security scanners and make reverse engineering more difficult.