Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A33E8C0C769CC5F417282C9E4AB5F1E76D5614CDB53490403EC97BA7AEFAE8BA120D8 |
|
CONTENT
ssdeep
|
768:WVbkzkDWyJNJNJdtrli9/QwYlTWwRVwYzYycv7/fpvjEpythgaVjwEel4xucjD6z:WVbkzsWyjjGUOKEC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc325353190decb6 |
|
VISUAL
aHash
|
0000d7d3ffffffff |
|
VISUAL
dHash
|
d92d26263a122212 |
|
VISUAL
wHash
|
0000c3c3dbfbc3fb |
|
VISUAL
colorHash
|
06000000e40 |
|
VISUAL
cropResistant
|
888088c8c880a880,2d2c263e02323212,c926d9d95926dcdc |
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.
Pages with identical visual appearance (based on perceptual hash)