Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T135745933421935260537C6D430B95B3BD2A6DE5FFAE70A010EECD7E72BE9CA0745A11A |
|
CONTENT
ssdeep
|
1536:tzIIFE+ZtsEJPjQBq1Wixx2qwGvvt8VPB6RxknNucRf8h6zx1R1x2UdP38NEfoUi:tMKLqgQ6Hq1RF2lyGl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8b35f00ab5495e7c |
|
VISUAL
aHash
|
00e7ef2f3d1839ff |
|
VISUAL
dHash
|
17cf4d4e6979798e |
|
VISUAL
wHash
|
00c7e72f251838ff |
|
VISUAL
colorHash
|
06003600000 |
|
VISUAL
cropResistant
|
17cf4d4e6979798e,ff7fffbbbbbb7f7f,5c26e627474c1387,072602414141858b |
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 40 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)