Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T184D2A732B110263B129383C57761F35FE1E29249DA8A090663FD835E5BE7F91DE3352A |
|
CONTENT
ssdeep
|
768:peFy5NWKtilt5/4MQuL/+2OYjFI7sOy2+y9BH4crIe:ltib5/H/D07sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343f438bc2d85c7 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9cc9c3c3cd0c8300 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0080800458988000,ccc9c3c3c3cd0c04 |
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.