Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9C3CE33421975270533C7D430A99B37E2A6DE4FFAA70A010EECD7F62BE9C90B956119 |
|
CONTENT
ssdeep
|
1536:F2jYtsEJPjQBq1Wixx2V7CsBgsBiSI1BhPr54n5M:U8LqvCsBgsB7o1SS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce16e9e914699669 |
|
VISUAL
aHash
|
0000040410fff9ff |
|
VISUAL
dHash
|
c6ccaca4a4231333 |
|
VISUAL
wHash
|
00000404fdfffbff |
|
VISUAL
colorHash
|
1e003010000 |
|
VISUAL
cropResistant
|
d4d4338880608080,808080e868e08080,8080e030b0808080,8080989a9aa88080,0008426969690620,0033331313132338,d6ccccacaceca4a3,32727a7647530b1b |
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 62 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)