Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DF1F8D3E54C10091316C9C1A9C2E244B37BCA16CF19643BDAB660A7F3ED6F495773A2 |
|
CONTENT
ssdeep
|
192:2pMDpMfpMDpMlhF1vyYDYV9Hsqu92XTw8dPVIq:2uDufuDuldyYOdsqo2XE8dtr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8349736f0ce7c866 |
|
VISUAL
aHash
|
00001e3f09ffffff |
|
VISUAL
dHash
|
e2d2f4ecfbcecece |
|
VISUAL
wHash
|
0000180f03ffffff |
|
VISUAL
colorHash
|
03003000180 |
|
VISUAL
cropResistant
|
f8eceef3cececeea,c072c2d4ececeef3 |
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)