Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C223F33A600CD2A4D9B86CCF6C09689411DC349FB3188C6B1A492FF7BC4DF169997AD |
|
CONTENT
ssdeep
|
192:tw3JededHERNx2LWxmMcnthWeNWbnfMmUU8VCo4Yf:dedHPAfMmUFCo4Yf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8707f4e60719d98e |
|
VISUAL
aHash
|
3f373f0f3fffffff |
|
VISUAL
dHash
|
eeeef0dae8104000 |
|
VISUAL
wHash
|
00000c003fffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
eeeef0dae8104000,f382a4b6b6b482f3,0836717196202a00 |
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.