Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13282A46270C0B63503D741D1F611775AF39181D4CA7A36307AEB87CFB7C18A88A6725B |
|
CONTENT
ssdeep
|
384:oZYmNIo3yqQiLBYjgSBeNm56K9JbUB5KMahhQuwyvLSPNddWsKTnVPP:oqmNIoCqQ8B6eNfK9JbUBUMn1Oj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c932396399ec8d36 |
|
VISUAL
aHash
|
28003c3c3c3c2018 |
|
VISUAL
dHash
|
d0d8f0f0f0c0c0f0 |
|
VISUAL
wHash
|
7e003e7c7c7c3c18 |
|
VISUAL
colorHash
|
30000000e00 |
|
VISUAL
cropResistant
|
00000c4417112411,8c4c9f9b39290f0e,d0d8f0f0f0c0c0f0 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.