Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0124F33A600DD2A899B56CCF2C09588511EC346FB3148C6B1A491FF7BC4DF169A979E |
|
CONTENT
ssdeep
|
192:xfp3JqduopbsxCHx+cMcnthWeNWbnfMmUU8VCoJBiSlX/S:cuopeDfMmUFCoHO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8306763e7e63838 |
|
VISUAL
aHash
|
c3c39fe7cbcfcfff |
|
VISUAL
dHash
|
1e1ebc0e121a161e |
|
VISUAL
wHash
|
8383c3c7c3cfc3c2 |
|
VISUAL
colorHash
|
07219000000 |
|
VISUAL
cropResistant
|
1e1ebc0e121a161e,128cb0b28c94936c |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.