Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DA36B33411935274437C6D130A55B3BD2A6999FFAA70E010EECD7EB2BFACA0745B11A |
|
CONTENT
ssdeep
|
768:UmrSvy5NVf6v8FNJ2eLY9DpLz4NP3+mZY9svblTOCVrJ+2m662Mg6XZ240whq9hJ:9oLz4NP/y9svbliCdaFFtiuCa28y2O9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c342f53ad9399c43 |
|
VISUAL
aHash
|
00200000000000ff |
|
VISUAL
dHash
|
9cccc0cac9f7cec8 |
|
VISUAL
wHash
|
40fc78202e0767ff |
|
VISUAL
colorHash
|
31008000e00 |
|
VISUAL
cropResistant
|
0480810030108080,9cccc4cac8cd3fce |
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)