Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A63D8201182AA2B2BE392E06760EA49E746F354C31BDB4953FC825F7BDFC51EC155B8 |
|
CONTENT
ssdeep
|
768:KY0hK0X/wK0P/41lgLlalldrK0rviIiv2iLVCK0hMk8:90Xl0P/IE07VTeV06D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9246b8b835b1ee96 |
|
VISUAL
aHash
|
0020240606ff8f8f |
|
VISUAL
dHash
|
9ce5eccccc3b1819 |
|
VISUAL
wHash
|
0434740606ffcfcf |
|
VISUAL
colorHash
|
30400088001 |
|
VISUAL
cropResistant
|
7878986969696977,9ce5eccccc3b1819 |
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 31 techniques to evade detection by security scanners and make reverse engineering more difficult.