Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F425423C286154B1636C0E8D223639B508563CDEA434FD072AAF27B7EC59B476B278C |
|
CONTENT
ssdeep
|
384:Hozsj8PnptBBXGrg0tjcIKfpfXl5iNtln5gm5clc:HMsj8f3DYgG/ipfXlMtAmUc |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b76c1c331f1c2437 |
|
VISUAL
aHash
|
00ffe3e767673f3e |
|
VISUAL
dHash
|
23294cccccccc8d8 |
|
VISUAL
wHash
|
00e7c37f26262e3e |
|
VISUAL
colorHash
|
06600008080 |
|
VISUAL
cropResistant
|
23294cccccccc8d8,fffffffffefeffff |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.