Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AB3CB33425975270537C2D520B95B3BE2A69D4FFAA30E010FECD7EB2BE9CA0751611A |
|
CONTENT
ssdeep
|
1536:x6evkWbSAIInSOtsEJPjQBq1Wixx2GzJNNW8tjJbcg7Yo4:x7LqONW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9640a97296fc39bc |
|
VISUAL
aHash
|
002000060600ffff |
|
VISUAL
dHash
|
dcc3c4ecac9c3374 |
|
VISUAL
wHash
|
407070760606ffff |
|
VISUAL
colorHash
|
1b003010000 |
|
VISUAL
cropResistant
|
a28082e2eaa280a2,a28082b2b2a280a2,8080a2bababa80b2,c202fada9aa20082,000a746161140000,d02b3b3773777674,9ccac28cecec8c9c,707023230707135b |
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 963 techniques to evade detection by security scanners and make reverse engineering more difficult.