Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1191283F0D4A09F724B5282D5A7767B6B36F1C254CB420D5453F883AD5BC9CA0CE259AC |
|
CONTENT
ssdeep
|
96:TkODO0z8mnzShOMbStqRjJ/t02RFC2X2HFGIDXCz/7g2g+AT431:QODO0z8mnWV5J/t02u8z8f8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6a37c887c827683 |
|
VISUAL
aHash
|
ffffe7ffffffff00 |
|
VISUAL
dHash
|
0c0c0c0800000000 |
|
VISUAL
wHash
|
0404041c0f0f0f00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c0c0c0c00080000,0000002020202020 |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.