Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFA36933411935274437C6D530A95B3BE2E69E4FFAA70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
1536:mxiCLz4NP/y9svbliCd4aNXTbgQFtiuCa28y2O9:4mAn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c763c53aba18bc29 |
|
VISUAL
aHash
|
00600000000030ff |
|
VISUAL
dHash
|
c8c3c3cdcdcdc3e0 |
|
VISUAL
wHash
|
74f7703c050078ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
4080812030808080,c8c9c3e9cd49c5c2 |
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.