Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1D2E1137788ED110FA724BFF6667AD62904505EB334C98652EA5D4F76CCCE89210F9C |
|
CONTENT
ssdeep
|
384:nfSjseRWjEzQUEPJpuH4yymYVvfMmUFCoH:nqjseRWjEzQUEPxfmYVvfBUss |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a424d3f324ccdb33 |
|
VISUAL
aHash
|
0303030303ffffff |
|
VISUAL
dHash
|
c68eb6b68e3f373e |
|
VISUAL
wHash
|
0303030303e7ffff |
|
VISUAL
colorHash
|
17000e00000 |
|
VISUAL
cropResistant
|
c68eb6b68e3f373e,1fdede8e64c6d0e0,63a8828e8c88a880 |
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.