Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E853E8F1F1E652D1B00B8BEAE50B2D5D21931AFCCFE18BE5C8F046A646B1C54F991CA4 |
|
CONTENT
ssdeep
|
384:WjxAohIXLdclih/xkHIuhihgxpo6nih+xbCn:PzdEinkHIaiMpowiObCn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ee6a91b498c3e61c |
|
VISUAL
aHash
|
ff83e1c183e3ffff |
|
VISUAL
dHash
|
492f2b2937af2b14 |
|
VISUAL
wHash
|
ff0081a181c1f5ff |
|
VISUAL
colorHash
|
07201030000 |
|
VISUAL
cropResistant
|
492f2b2937af2b14 |
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 627 techniques to evade detection by security scanners and make reverse engineering more difficult.