Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AEE2653151506E3B02E7C2DAB7A1672E62E2C249EF43061953FD836C4BE6E50DE63636 |
|
CONTENT
ssdeep
|
384:zWeay2012P+m1i1i15VpRInyl4ZuozK24YJOC7cqefsodZy/JfWIYsOy2+y9BH4y:Keay2B6hzYHk07sOy2+y9BH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9245f412e93b39e9 |
|
VISUAL
aHash
|
003000000000ffff |
|
VISUAL
dHash
|
cce440c8c8ccad00 |
|
VISUAL
wHash
|
0cfc20300c0effff |
|
VISUAL
colorHash
|
39c00008000 |
|
VISUAL
cropResistant
|
c3e3cdcdcdc3c3c3,0880900458988000,dcec60c8c8dccc2c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.