Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1263386B30C4D603A53A681C84765AE1EE3D2585ACF964E8673F443AC9FB3D90EA7354C |
|
CONTENT
ssdeep
|
384:DVmYcDkhGZ21itVUitZjZSvqM1z/9NjVoyZKGTuLbJwld1VnNKGbAtaMqZDXitEN:DoYphGRcvZKG6qvFUhIXiNTuLX2SZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b112eaacccedc992 |
|
VISUAL
aHash
|
ff04040006ffcfff |
|
VISUAL
dHash
|
33ccc8aa881f3b2b |
|
VISUAL
wHash
|
ff04000002ffcfff |
|
VISUAL
colorHash
|
0b400030000 |
|
VISUAL
cropResistant
|
03282323232320c3,d8c88aa89a3f3b0b,2b6a9aa2e26a6b2b,fac8ccc8daa8ac9a,86a34d732713e4c4,f3a9c34b96262769,e26b4d4c993d68e4,2ea99b0e0e2b6dc9 |
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 1216 techniques to evade detection by security scanners and make reverse engineering more difficult.