Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0C20014B9041E6BA9F7C9D8A5253F1E74D3F30BE04A4928B6EEC055AFD3C2AF815970 |
|
CONTENT
ssdeep
|
384:jgL1e8YGQUHybhTwLv8Fjb+5Dg26PXnFV/dAzvZ89c65kXpz3sPpq+MdGNJx:jgL1CLbJ1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac6c191b36666d4d |
|
VISUAL
aHash
|
00dfc387f7ffffff |
|
VISUAL
dHash
|
2932262e2c523a06 |
|
VISUAL
wHash
|
00038383f3ff9fc3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
29122e2e44503a06,0000146871700810,40f0c18c3a6cec5a |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.