Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3934A33411935274437C6D530A55B3BE2A69D9FFAE70A010EECD7EB2BF9CA0744A11A |
|
CONTENT
ssdeep
|
1536:BHSLz4NP/y9svbliCdjQIIII8IuaPYMG1K+04Ch1ga2WFtiuCa28y2O9:R8mAk |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c347bc3ac52a9669 |
|
VISUAL
aHash
|
00007030200400ff |
|
VISUAL
dHash
|
9842c4c8c3cdcd92 |
|
VISUAL
wHash
|
00f0fe74702f01ff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
808001303000a000,9842c4ccc2d9edc3 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.