Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5F2953161003B3B41D7D3C9B352F72FA293534DDA5A050656F993AD0AF3DA8DA2352A |
|
CONTENT
ssdeep
|
768:Ivy5NdgEhFubrN1RxJS35Wt987sOy2+y9BH4cLIe:2NJxff87sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c367b818d943c7c9 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c0ec3c3c07cf000 |
|
VISUAL
wHash
|
00f7f1302004ffff |
|
VISUAL
colorHash
|
39e00000000 |
|
VISUAL
cropResistant
|
1280800458988000,9c0ecbcbc2c0fcf0 |
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.