Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AB329D8D72053FC584ECBAEFE3164647A1F60EABAC14998C29D5EA496D3CC4DC06CC6 |
|
CONTENT
ssdeep
|
1536:0IO+wesQ89hW43OCZrcgDPUcPNSSVYknQe8hSt6pQCawLyRZRnXAs4+yN:0IteFcgDPUc6VWwi0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
98dde70081fcfb81 |
|
VISUAL
aHash
|
ff9f9d0f07099dff |
|
VISUAL
dHash
|
562b3b36fc3933ce |
|
VISUAL
wHash
|
bf19090f07011bff |
|
VISUAL
colorHash
|
070060000c0 |
|
VISUAL
cropResistant
|
562b3b36fc3933ce,cc8e9361010f3ef8,7294c871370f2b96 |
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 46 techniques to evade detection by security scanners and make reverse engineering more difficult.