Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159942AB053A02ABB419787E4B2307357E29B527DEA23D98DF3EC87556BCBC69CD10190 |
|
CONTENT
ssdeep
|
3072:EGKh6bsZthYV7A3ZtXZeiHPCuuUZRs+5wL4ZujVgub5tIZwr7LfqLLaZtmZeiHPe:EGKh6bsZthYaUZP |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8c3b9bc96687c06 |
|
VISUAL
aHash
|
ffff000000c3c3ff |
|
VISUAL
dHash
|
00a3c1b3d4232b2b |
|
VISUAL
wHash
|
ffff000000c3c3ff |
|
VISUAL
colorHash
|
0e0020001c0 |
|
VISUAL
cropResistant
|
00232382802b23d3,d42b2b2b2b23aa2b,b5d3f181b1d6c6b4,244832d4ccd4cc40,08b4b2c871a4e849,08a412d8c8d6f233,045a0ac8c869c884,00000000242c085a,0000100834b4b4b4 |
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 77 techniques to evade detection by security scanners and make reverse engineering more difficult.