Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133D2B631B110273B129783C97722F72EA2E39249DB8A191653FC875D4FD7E84DE2352A |
|
CONTENT
ssdeep
|
768:3eFy5N6MvtWC7phymbovf+Zwicq17sOy2+y9BH4cLIe:UMvtJphef+u87sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f43ab12dc5c6 |
|
VISUAL
aHash
|
002030000000ffff |
|
VISUAL
dHash
|
ccc1c3c3cdcc8300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,ccc9c3c3c3cdcc24 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.