Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T163C142D1C408DD36071286D9F7F9671BA5D2C35ADB010984A3FC42EB97DFC60CA22799 |
|
CONTENT
ssdeep
|
96:Tkm14zdaPfSThTwvF8exXgHFFseZX0X/uhCrJ:Qm14zdaid6uLLmXaC1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed9c359b9162f025 |
|
VISUAL
aHash
|
ffb3f0f879f96023 |
|
VISUAL
dHash
|
5367a6e3cb8bce46 |
|
VISUAL
wHash
|
ffb0f0f879f02003 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
5367a6e3cb8bce46,193c1c8e4723100c,410f3c58d0582c0f,c603090848191d23,03873b4e5c19263e,33994d4d99334f3c |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.