Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116F22BF563A4A6B9B101C3E4D732563A739751FADE838310C3ED9B8C89D9C8EDC99841 |
|
CONTENT
ssdeep
|
768:RthXTRlXND9bVbv9OpTTRVPYMOXTFsKtbxp:9RFVr9OpvXYMOXTFsKtbxp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b10bc476ddc8b2ca |
|
VISUAL
aHash
|
ff000d0f0707ffff |
|
VISUAL
dHash
|
b41bdb5a1e2e84c0 |
|
VISUAL
wHash
|
1f00090f0706ffff |
|
VISUAL
colorHash
|
13200180000 |
|
VISUAL
cropResistant
|
002180f4b4a00120,cf87863cbcddf8f4,8080c0c08064e2e0,1e1b5bdb5e5a3c2e |
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 232 techniques to evade detection by security scanners and make reverse engineering more difficult.