Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197A38A33425935274437C6D530A55B3BE2E68A4FFAE70A010EECD7EA1BFAC60745B11A |
|
CONTENT
ssdeep
|
1536:Sc/Lz4NP/y9svbliCdUS7G6/1FtiuCa28y2O9:bjmAZS0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d43a916be143 |
|
VISUAL
aHash
|
00000000000000ff |
|
VISUAL
dHash
|
0c2cc049cdcf61f0 |
|
VISUAL
wHash
|
00fcf0200705ffff |
|
VISUAL
colorHash
|
39000c000c0 |
|
VISUAL
cropResistant
|
6914a881303080a0,8c2cc048c9cdcf61 |
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.