Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T193A3BC23411935274437C2C034BA6B3BE1A6C95FFAE70E411EDCCBEB6AF9C90745A619 |
|
CONTENT
ssdeep
|
768:Y969tpR4nXF6YjOpSpFlTC6rryjWT0TseDgnX:N9tpR4nXBKpSpFl26vyaT0TsegnX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212e46cbb13c3cf |
|
VISUAL
aHash
|
00002c0c000060ff |
|
VISUAL
dHash
|
1cc4c87969618424 |
|
VISUAL
wHash
|
00047c9cbc20ffff |
|
VISUAL
colorHash
|
326000000c0 |
|
VISUAL
cropResistant
|
000080e060600040,0000006060600040,000020e060600040,0000a0c0a0a00000,842026d824241a96,1c94c8c879696585 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.