Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0D2093561D4500BA2A34395BB303FABC4A95B686B75A004ADFF42C356D2CB8D177BF8 |
|
CONTENT
ssdeep
|
384:K+z/Ob4igoOUu63maQ375wndkn7rc3OJll6Dnhs7Y3re2:h2b43oOVa+1wnuZCb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c4e41e1b39283d3f |
|
VISUAL
aHash
|
f0f6f2f300000000 |
|
VISUAL
dHash
|
a686868682a0a2a0 |
|
VISUAL
wHash
|
f2f6f7f300783810 |
|
VISUAL
colorHash
|
38200038000 |
|
VISUAL
cropResistant
|
a9198d292949cb20,0e59da9494343488,2f1e7dfbfbf8e0e0,80a280a2aa80a280,a686868682a0a2a0 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.