Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BA37833415935274437C6D130A95B3BD2A6994FFAE70A010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:YSvy5NRw2aLz4NP3+mZY9svblTOCVrC4WB+EvFtiuCa28y2OZL:J5Lz4NP/y9svbliCdGvFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f53a9d399c43 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
9cc8c0c8c9e7cec8 |
|
VISUAL
wHash
|
40fc78202e0767ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
808081103000a080,9cc8c0c2c8cd3fce |
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)