Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16E320D2378041A123A176DE6F2CF6B0D90958BDDCA465FD8A9ECC29903F6CE17312378 |
|
CONTENT
ssdeep
|
192:PkwNK09sedw9Y0+CRrj6QYZrw5kBOZahoadtNSKg6DENK6506KIPP7MfIia0PF0S:FbvY5y/zNHecq2yS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d19b373668c9919 |
|
VISUAL
aHash
|
0000181800ffffff |
|
VISUAL
dHash
|
8eb232b2b0480001 |
|
VISUAL
wHash
|
0018181b00ffffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8eb232b2b0480001 |
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 637 techniques to evade detection by security scanners and make reverse engineering more difficult.