Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T126A37B33415935274437C6D430A55B3BE2E68A5FFAE70A010EECD7EA1BFACA0745B11A |
|
CONTENT
ssdeep
|
768:RedG6++Lz4NP3+mZY9svblTOCVrXKSLEpjGpsFtiuCa28y2OZL:p+Lz4NP/y9svbliCd6xtFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a9969c549 |
|
VISUAL
aHash
|
00042000000001ff |
|
VISUAL
dHash
|
0c0cc0c8c9cd8fb0 |
|
VISUAL
wHash
|
00c4f0302d07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,9c0cccc8d9cdcd1b |
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)