Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6B38B33411835274437C6D530A55B3BE2A6DA5FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:lSky5NUp6OLz4NP3+mZY9svblTOCVrYZG2JUpe8FtiuCa28y2OZL:5zLz4NP/y9svbliCdx5BFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363bc1aed2ac523 |
|
VISUAL
aHash
|
00002000000004ff |
|
VISUAL
dHash
|
d0ccc8c2cacccc88 |
|
VISUAL
wHash
|
0064fc702034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
8001a0815c588090,c88cccc2cac8cccc |
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)