Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ABA37A33415935274437C6D530A55B3BE2E68A9FFAE70A010EECD7EA1BFACA0744711A |
|
CONTENT
ssdeep
|
768:kCedG6KTLz4NP3+mZY9svblTOCVriuinIRCKRFtiuCa28y2OZL:3TLz4NP/y9svbliCdtssFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d272f43a8969c563 |
|
VISUAL
aHash
|
00040000000001ff |
|
VISUAL
dHash
|
1c2c4850c9cd0fb0 |
|
VISUAL
wHash
|
00c4e0380f07ffff |
|
VISUAL
colorHash
|
31000c000c0 |
|
VISUAL
cropResistant
|
0000a081303080a0,9c2c4c48d9cdcd1b |
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.