Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A07243B2461C7C3712C2E6D565F0B729F28B5589CED24A86B3FCC78C83C6D94CC6162A |
|
CONTENT
ssdeep
|
192:PZPjhm/Jx3CG7cbEEbFPJmuQlJVQDmQbzNYuQUni4Q4HhvBuQxQM/91lG:hPjASG7cNPJNQj2SgzNrBFTBvMEG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
891be433c91bedb0 |
|
VISUAL
aHash
|
000000180000ffff |
|
VISUAL
dHash
|
d8ccb2f0f0508882 |
|
VISUAL
wHash
|
0000183e3e1effff |
|
VISUAL
colorHash
|
01e00000000 |
|
VISUAL
cropResistant
|
283ae6c6a6aaa694,51d5ccdbce4a2323,a28082a0a0b2a8a7,dcccf2b2f09048a0 |
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 934 techniques to evade detection by security scanners and make reverse engineering more difficult.