Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FA37933415935274437C6D430A55B3BE2E69A5FFAE70A010EECD7EA1BFACA0744B11A |
|
CONTENT
ssdeep
|
768:nedG6nrXLz4NP3+mZY9svblTOCVr67a7q1nBWFtiuCa28y2OZL:ajLz4NP/y9svbliCd8GlFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d43a9c4de541 |
|
VISUAL
aHash
|
00000000000018ff |
|
VISUAL
dHash
|
0c0c4869cdcf61f8 |
|
VISUAL
wHash
|
80c4e0003f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
6914a881303080a0,9c0cc840c9cdcf61 |
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.