Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FF231E209445E92B00CB96C8A232176A62F98345D7134A89FAF6C7F95FDFCADDE33111 |
|
CONTENT
ssdeep
|
768:PRtk79dMxMRFypW4ie35QbH7HHZD4YWdsIx/jYhdUf7Fo:PRtk79dBypWde3+bH7HHZD4YWdsIxshh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
915be72cee02b4e4 |
|
VISUAL
aHash
|
000c1c1c1c0c1eff |
|
VISUAL
dHash
|
d858d8d8f8b8b800 |
|
VISUAL
wHash
|
001c1c3c1c1e7fff |
|
VISUAL
colorHash
|
09000038000 |
|
VISUAL
cropResistant
|
58f8d8f8b0b8b800,1174c089c5d9f1c0,d058f8d8f8f8b0b8 |
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 131 techniques to evade detection by security scanners and make reverse engineering more difficult.