Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14C8294309850287BBE47C6F871289B0FB18B925FC35B9740B7D49395ABCADB1CD67680 |
|
CONTENT
ssdeep
|
384:1f1KsA4a4KCPY6iq+2XwdXwsXwdDm/MTOq+haJ4n:R1Kt4QqDGxqtN6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9cb963668c89b999 |
|
VISUAL
aHash
|
0000181818181800 |
|
VISUAL
dHash
|
0b34b2b2b2b0f0d4 |
|
VISUAL
wHash
|
ff181e1e1e3e3e00 |
|
VISUAL
colorHash
|
38000218001 |
|
VISUAL
cropResistant
|
f0d4a56a64b1c6f0,0b34b2b2b2b0f0d4 |
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 390224 techniques to evade detection by security scanners and make reverse engineering more difficult.