Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101324133A600DD2A8EAB56CCF2C09589415DC345FB3148CA72A491FF7BC4DF069997AD |
|
CONTENT
ssdeep
|
192:QE3JYdTCpsLmAMtYOxvtfx6McnthWeNWbF8wwfMmUU8VCoFGj:0TCpsLmPtdDHwfMmUFCoFI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87595c7273c8cc33 |
|
VISUAL
aHash
|
00183b2727373777 |
|
VISUAL
dHash
|
90f0f2cbcfe6e6e6 |
|
VISUAL
wHash
|
00183b3f27373737 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
90f0f2cbcfe6e6e6 |
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.