Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142426133A600DD2A8DAB55CCF6C09689416ED345FB3148CAA1B090FF7BC4DF169A939D |
|
CONTENT
ssdeep
|
192:fCs3JyYcicKchaFX/9tz4AHasHxOHMcnthWeNWbuvOfMmUU8VCo9Y:5cicKchaFX/9tzNiNvOfMmUFCoy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f474850b870f07af |
|
VISUAL
aHash
|
00c0c4c48400ffff |
|
VISUAL
dHash
|
36343c3c28f8f800 |
|
VISUAL
wHash
|
02c6c6c4840cffff |
|
VISUAL
colorHash
|
01000000038 |
|
VISUAL
cropResistant
|
36343c3c28f8f800,6a601a32e83337b4,7d9d9f9b9b9e76fc,b0a060c0c0800000 |
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.