Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1978242B28BD89F3745A2C2C66FB06B1D7BA2828DCD864956D1FCD7584FC6EB2EC01114 |
|
CONTENT
ssdeep
|
384:Kd1ZzWNjzbtT7CeHn4H0UKG69ME1aM5ovyBsxyI4+cUZ:MWNTtT+eH4UUrtSovyBsxyIZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b86743574343473b |
|
VISUAL
aHash
|
00dbd3cfdfdfcfdf |
|
VISUAL
dHash
|
c7363636383cbcb4 |
|
VISUAL
wHash
|
00839383c78fc7df |
|
VISUAL
colorHash
|
072020000c0 |
|
VISUAL
cropResistant
|
c7363636383cbcb4,0e5ed6dedececccc |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.