Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12EA2E96590CDFA6E004342D2FB63A39BF341AA54E46B03419AF9C3BC0ED6D8AFC57549 |
|
CONTENT
ssdeep
|
384:oruVqU7OpLTqeR2Scsf4vifZrl8jjtl5w73:oruoU7OpLT8DU4cOjjtU73 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec6d9b2e92936492 |
|
VISUAL
aHash
|
c3c3c3c3e3c3ffff |
|
VISUAL
dHash
|
2326868686064396 |
|
VISUAL
wHash
|
c3c3c3c3c3c331d3 |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
2326868686064396,0707070707070727,01410583931b9b9b |
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 45 techniques to evade detection by security scanners and make reverse engineering more difficult.