Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10BE2A671428C507B1617E6E6E4667A0E38D201FFADA71B0122FD1DEE7BF2C50E92560A |
|
CONTENT
ssdeep
|
768:qVTfwPT1a9eGPfPb50MnasXGegb/xGN2/ZNeC7FZLB:3uvnas2egbh/PjTLB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93d2ac6c65169e3c |
|
VISUAL
aHash
|
067c2e6c6014317f |
|
VISUAL
dHash
|
c4c8d8d8c6e4c2c2 |
|
VISUAL
wHash
|
067e6e6c003c337f |
|
VISUAL
colorHash
|
32200038000 |
|
VISUAL
cropResistant
|
00004d4c4d4c9185,c4c8d8d8c6e4c2c2 |
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 96 techniques to evade detection by security scanners and make reverse engineering more difficult.