Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C8A39A33415975274437C6D430B95B3BE2E68A4FFDA70A010EECD7EA2BFAC90745A11A |
|
CONTENT
ssdeep
|
1536:x46xLz4NP/y9svbliCd5v9NzbwuFtSuCa2hw2Ao:5mAq/G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9247b612e938cd6d |
|
VISUAL
aHash
|
00240000000404ff |
|
VISUAL
dHash
|
dcccc0d0c8cccc96 |
|
VISUAL
wHash
|
06fe7030043e0fff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3c3cbcdcdcdc3c3,0c008481585a8090,dc4cccd0c0cccccc |
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.