Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189A34CE03B18E8676AB34393649F2006B235562F940D0D307354ED9E66BDC9B9077FE6 |
|
CONTENT
ssdeep
|
1536:KydQZXFfbsQmlo2h2wV9LHd8tVPTMn57Bd0uq++iX8z:sXjUMAL98n0d0++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7e4383bc73cc321 |
|
VISUAL
aHash
|
0060627373200000 |
|
VISUAL
dHash
|
06c6c6c6cecd0644 |
|
VISUAL
wHash
|
8373777777330300 |
|
VISUAL
colorHash
|
38400008040 |
|
VISUAL
cropResistant
|
c9c696d6a6b39afe,06c6c6c6cecd0644 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.