Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E663CF38D155A5231273D8C0EC2AAF1D74E6E30AD9C691846BBD17DC2FCBD93BE0611A |
|
CONTENT
ssdeep
|
384:Tkfd4QLTTAHvbIGzJpJxow8egGQFcE0vecU4wgkBqaGg6bsGrsY2Ez+G2AkXshZ5:TV52XjLRRLXXzRRlt5vt/st |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5cd5ab0562da5c6 |
|
VISUAL
aHash
|
0020732707670300 |
|
VISUAL
dHash
|
c2c3e7e6ccdef7c0 |
|
VISUAL
wHash
|
027177777f670700 |
|
VISUAL
colorHash
|
380010001c0 |
|
VISUAL
cropResistant
|
f8a6e292c4d8e0c9,5a56be2c79e78e36,9e7cf4dcb2b2f272,a5a3d3d45a64f038,c2c3e7e6ccdef7c0 |
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 38 techniques to evade detection by security scanners and make reverse engineering more difficult.