Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2A37A33411935274437C6D130A55B3BE2A6D99FFAE70A010EECD7EA1BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:dUhALz4NP/y9svbliCdhWvFtiuCa28y2O9:K+mA8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c723853af86cbc43 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
4cc8c64a4868c3d0 |
|
VISUAL
wHash
|
247f70a8ac3430ff |
|
VISUAL
colorHash
|
31030000200 |
|
VISUAL
cropResistant
|
d000800130308080,5cc8cc62484864c2 |
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.