Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CBF176735014D82A1EA7D5CCF6C0E68D62A6D305FF318586A2E4A4AF2FC4DF0986137D |
|
CONTENT
ssdeep
|
96:MF3J0CnaR1sYAlnfzOlnV2dzSlnAzGdfAFbxfMmORR1E8VConelDo7okd5Lkl:MF3JcdAJaqdWOYf6VfMmUU8VCoe4vW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cccce0c8cc73 |
|
VISUAL
aHash
|
cf074747c7ffffff |
|
VISUAL
dHash
|
1c1c9e9c1d0c0000 |
|
VISUAL
wHash
|
4404040400c00100 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
1c1c9e9c1d0c0000 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.