Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T179C285725146D53F02A393E06370BF59B1C3920DDB945201E7F8638A6FA3D92FC266A9 |
|
CONTENT
ssdeep
|
192:7NnTdeL9KwBRb4GCdYtZglVicDIgV0xiQO50iVjz0+XQLiuDIxV07:7jeTBoOtGLDII0P2XJgLfDIP07 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3c7cc3067c63272 |
|
VISUAL
aHash
|
e68fe7f18387ffff |
|
VISUAL
dHash
|
0e3b4c4b0f1c461e |
|
VISUAL
wHash
|
8683a7a1878787e7 |
|
VISUAL
colorHash
|
07002200600 |
|
VISUAL
cropResistant
|
0e3b4c4b0f1c461e,b058d9c9c3d65c2d |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)