Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161528260B2749B3B51E3C5F1F7623376599F8216C46B9016EFF9C28A4BD5D20CC8A362 |
|
CONTENT
ssdeep
|
384:MimxWdoHoxNEAiVab1As4Uz2fzuz2su5NVXdm:DoHox2W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cf943435873d3487 |
|
VISUAL
aHash
|
1a7c3c3c3c001800 |
|
VISUAL
dHash
|
b6e0f0f0e8b670c8 |
|
VISUAL
wHash
|
7e7e7e7e7c001820 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
828787e767878786,b6e0f0f0e8b670c8 |
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 234 techniques to evade detection by security scanners and make reverse engineering more difficult.