Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B1E3B5B37C0A0827116F89CAA1733FDDA1C1C6CBCA8245D6E3F6536CCAB5DE07652658 |
|
CONTENT
ssdeep
|
1536:CszDC/1xRI22un/iTHpMk3y/RcHTgfaUgeTq4MP1kIPuCD/m681USoEoDp/81RPu:CsvCd1+MZQm8m6812N |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ab15e395600ff10f |
|
VISUAL
aHash
|
0000000018ffffff |
|
VISUAL
dHash
|
da7573d7f0555515 |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
0f200000007 |
|
VISUAL
cropResistant
|
2255555555551595,da99f56933d3cbf0,ccccccd4d4f0f0e8,6c2e9c332e2f2e29,9b256ffdd5f5c9db,1b25e5f4747559d9 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.