Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF42F061A9421C93A74756D0C0FA0B0C1EBB9B81C90A8FBF737A61BE5BCCDE019DB155 |
|
CONTENT
ssdeep
|
192:zOIRxskt30g3OPSji3i3AK0Kb3HdFbla0M5SLKYWD3Cx+P2wlKc3zAzeM5TeX51W:Cexskt30g3OPSe3i3AK0Kb39FblxM5SF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ce4cd62c8737366 |
|
VISUAL
aHash
|
fb1b03000000003d |
|
VISUAL
dHash
|
b3b3a75b8db3f1b3 |
|
VISUAL
wHash
|
f3fb1b0001093f3f |
|
VISUAL
colorHash
|
38000000238 |
|
VISUAL
cropResistant
|
b3b3a75b8db3f1b3 |
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.