Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18DA37A33411935274437C6D430A55B3BE2A79A9FFAE70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
768:XedG6CILz4NP3+mZY9svblTOCVrxIzLeu19sgFtiuCa28y2OZL:bILz4NP/y9svbliCdyhNFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d43a9169e543 |
|
VISUAL
aHash
|
00002000000018ff |
|
VISUAL
dHash
|
1c0c4849cd8f71f0 |
|
VISUAL
wHash
|
00cef0200707ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6100a080303080a0,9c2c4848d9cd0f71 |
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.