Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C1A36933411835274437C6D530A55B3BD2A6D99FFAE70A010EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:YSy5N+BQaLz4NP3+mZY9svblTOCVrNzyN7MeIoFtiuCa28y2OZL:f3Lz4NP/y9svbliCdU7FtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c72a853af169bc43 |
|
VISUAL
aHash
|
00200000000020ff |
|
VISUAL
dHash
|
d8e8664a482cc3d0 |
|
VISUAL
wHash
|
067f37a8ac0070ff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
0080a00030308080,5ce8e44a484820c2 |
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.