Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A37833411935274437C6D530A55B3BD2E69A4FFAE70A010EECD7EA1BFACA0B45B11A |
|
CONTENT
ssdeep
|
768:2SkZpr0yLz4NP3+mZY9svblTOCVr4FM6q4ia0FtiuCa28y2OZL:SDLz4NP/y9svbliCduMfFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc29e543d61e |
|
VISUAL
aHash
|
00002420000024ff |
|
VISUAL
dHash
|
cc98ccc8c0e0ccdc |
|
VISUAL
wHash
|
00007e6c3838ffff |
|
VISUAL
colorHash
|
31000000418 |
|
VISUAL
cropResistant
|
4400a081303080a0,cc12ecccc8c0e0cc |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)