Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6534CE0B940FD12257310E3709FD445B2BA582F685C0D60F698DACA66FF437116BBEA |
|
CONTENT
ssdeep
|
768:eT0TQH7YFcUgWgWURWaSAM005FFphbnPP+2THPdZRRwtyuG04ggRETHPFBZZIaq6:5DgWU+zQ2N0msQw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb4dcd16164c1d17 |
|
VISUAL
aHash
|
00fbc1878787c3fb |
|
VISUAL
dHash
|
030b0b0d0d0d0f03 |
|
VISUAL
wHash
|
00e3c3878787c3fb |
|
VISUAL
colorHash
|
00000030000 |
|
VISUAL
cropResistant
|
030b0f0d0d0d0f03,01ca2a2aca0ac00f,0b0b0b0c0c0e0f03 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.