Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100D232312252A97F226BD7D8B3E1DB9A909A9709CD174D2CB3FC12A22BD7FD1CD15201 |
|
CONTENT
ssdeep
|
384:N2HYrupDNgdOD1QCRO1F043gUZzZxymwYW:NMKQmems |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0e00d1fb83587cf |
|
VISUAL
aHash
|
0341f0c0c00c007e |
|
VISUAL
dHash
|
b3a5c584a9c8b2b0 |
|
VISUAL
wHash
|
5b41f0e0fc5e00fe |
|
VISUAL
colorHash
|
38008000c00 |
|
VISUAL
cropResistant
|
b3a5c584a9c8b2b0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.