Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11EE3C630E1149EB6408751E2B664AFB52BF4A394F7931700A6FB43EA5BD2CD9930B31D |
|
CONTENT
ssdeep
|
1536:ne/PBVQhoVo6fDmF92vAxdEtxdMexdHfxdlsZxdNxqmxd2exdjqxdJWxdGhxdYXT:n2P4KsesIVa7d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e796db28ac3c2067 |
|
VISUAL
aHash
|
fffca487034080a0 |
|
VISUAL
dHash
|
8a684c2ec7834948 |
|
VISUAL
wHash
|
fffcb6870340a0e8 |
|
VISUAL
colorHash
|
13e00000001 |
|
VISUAL
cropResistant
|
cca84c4c2e47878b,98cee7e1b0381c9e,d7c7878b01494849,1303c1f0b4da4b69,0000802101800000,908088000f90c064,684c2e07878b4149 |
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 302 techniques to evade detection by security scanners and make reverse engineering more difficult.