Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T104E297A6E786883F031392D865A83FCFA1628349C9D31E11E6E487FD55E3DF094634B9 |
|
CONTENT
ssdeep
|
384:VQiQz2kgNIIxXIv1kC2OkHKQK6iH6i6IYKNLlQhoEcapntENz26ilc0pRlsaIApM:yiQz9SIIvvOkHKB46ElxIRXX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c4b03b3b36c6c6c |
|
VISUAL
aHash
|
000000ffffffffff |
|
VISUAL
dHash
|
f9f0b0b00c3c3c2c |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
06000200038 |
|
VISUAL
cropResistant
|
0080a0a0a0808000,32b2cccdaccd4d4d,203c0d343c0c200c,23b0f8e8f0f0b0c8 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.