Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T122A37B33411835274437C6D530A55B3BE2A6DA9FFAE70A010EECD7EA1BFACA0745711A |
|
CONTENT
ssdeep
|
768:oSy5NusArLz4NP3+mZY9svblTOCVrVuPjhGJ74OvFtiuCa28y2OZL:EgLz4NP/y9svbliCda6vFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c722813af869fc47 |
|
VISUAL
aHash
|
00000000000020ff |
|
VISUAL
dHash
|
5cc8464a4828c3d0 |
|
VISUAL
wHash
|
067f33a8bc0070ff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
0080a00030308080,5cc8c64a484820c2 |
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.