Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AD295319109A87F05EBA2D1EB75B36A72C1838ADD470B2642FD879D0FEBD50ED03455 |
|
CONTENT
ssdeep
|
384:ahqiIIXfAIIIII90lBQv9bXSQM/reVuXttnpW:+qiIIPAIIIIId9bX5MjeVuj0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83e3733c941c7933 |
|
VISUAL
aHash
|
00e3ffff3f181838 |
|
VISUAL
dHash
|
96cbcbf5edf3f0d0 |
|
VISUAL
wHash
|
00e1efff3f181838 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
e3c3d3c28da8383c,0008303232320800,96cbcbf5edf3f0d0 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.