Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFA38A33411935274437C6D530A95B3BD2A6DA4FFAE70A010EECD7EA2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:+Mo0VDq1ALz4NP/y9svbliCdJyv9Ozou0FtiuCa28y2O9:5mA2yv9WX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c76bfd329169c502 |
|
VISUAL
aHash
|
00002000040000ff |
|
VISUAL
dHash
|
1c4dc3c3ece434c8 |
|
VISUAL
wHash
|
c0ff71300e003eff |
|
VISUAL
colorHash
|
31000200038 |
|
VISUAL
cropResistant
|
c00180815c588090,1c4dc3c3c9cce63c |
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.