Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16692A834A2502936D1234DDB7CB6174D114AD20ECA0B6DD8FB38E3E39ADADD1691378E |
|
CONTENT
ssdeep
|
384:vxbbiN4duuK4JiJ4ygU8xDrPGstiItiX3zXgBuQ9vapkbyJRT63ByEBV:vS4848J4y98xnestjtW3k9SpyyJRT6RT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd07857a8207d678 |
|
VISUAL
aHash
|
db838381c1c1c3fb |
|
VISUAL
dHash
|
3b333a2b2b2b3b23 |
|
VISUAL
wHash
|
f3838381c1c1c3ff |
|
VISUAL
colorHash
|
1b030000000 |
|
VISUAL
cropResistant
|
01e04c23234ce003,2b3b2b2a3b3b2323,3b333a2b2b2b2b3b |
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 43 techniques to evade detection by security scanners and make reverse engineering more difficult.