Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19C326233B600CD2A8DAB52CCF6C49688415DD346FB3148C6A2A491FF7BC5CF069A979D |
|
CONTENT
ssdeep
|
192:zcYcxcjchsmd44E5bACvzeIxVM3XMcnthWeNWbnfMmUU8VCoO:Xcxcjchsmd9E5JvXM3IfMmUFCoO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0e00f1f0f572bf0 |
|
VISUAL
aHash
|
01c3c3c3c606060d |
|
VISUAL
dHash
|
7b9e9e9e9e7cfcf9 |
|
VISUAL
wHash
|
01c3c7c7cf0f0e0f |
|
VISUAL
colorHash
|
00000000038 |
|
VISUAL
cropResistant
|
f5fbf6e4d8b0e080,d0c058f0c05551c0,7b9e9e9e9e7cfcf9 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.