Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161A37A33411935274437C6D130A95B3BD2E69A5FFAE70A010EECD7EA1BF9CA0B45B11A |
|
CONTENT
ssdeep
|
1536:4EZ4kev1mLz4NP/y9svbliCdx+CoZHbFtiuCa28y2O9:RmA4+w |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd32d1699402 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
1c49c3c3eccc36a8 |
|
VISUAL
wHash
|
c0ff71300c061eff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
c00180815c588090,1449c3c3e3cccc36 |
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.
Pages with identical visual appearance (based on perceptual hash)