Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10F62C6B0042A692BD14349C5FFF4676C00A3C30EEB535D8672F503A9C7FACA9BB68155 |
|
CONTENT
ssdeep
|
384:nZWITt5xQAtKjRCnLCVOe2jBrNm7dpaM3kh:n0ITDxQhRAdc7fb3A |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3aeb0387fc31e50 |
|
VISUAL
aHash
|
ffff7f2000006600 |
|
VISUAL
dHash
|
7f7feb4b34c8d4d4 |
|
VISUAL
wHash
|
ffffff6900006600 |
|
VISUAL
colorHash
|
30002000e00 |
|
VISUAL
cropResistant
|
ac969296b22242a2,7f7feb4b34c8d4d4 |
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 139 techniques to evade detection by security scanners and make reverse engineering more difficult.