Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108D2993161246B3742A7C3C67262972AA2F7438FE7460412A2FD83AD07E7D15DB27729 |
|
CONTENT
ssdeep
|
768:Re7JZKIGGuR5s5SK+JNDK7sOy2+y9BH4crIe:+ZVuI5SZNDK7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b436bd34cdc4 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d4cce4c8c88c8c00 |
|
VISUAL
wHash
|
027c7c206044ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
0880880458988000,d4ccc4c0c8c88c8c |
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.