Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B7A38A33411935274437C6D130A95B3BD2A69A5FFAE70A010EECD7FA1BFACA0B45711A |
|
CONTENT
ssdeep
|
1536:rmZNhSv1uLz4NP/y9svbliCdyGCouLFtiuCa28y2O9:kmAxtA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd32d16c8402 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
1449e3c3c8cc6698 |
|
VISUAL
wHash
|
c0fd71200c063fff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
000180815c588090,1449c3e3cbccc434 |
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.