Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145425233A600DC2A8E9B95CCF6C095895159C346FB324CCAB1A491FF7BC4DF069A939D |
|
CONTENT
ssdeep
|
192:Ls3J7jWvxXuiREYiN0TMUyemXMcnthWeNWbxfMmUU8VCopg:MWvxXuiREYiNEbyemmfMmUFCoW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0708d0f8f0f0f8e |
|
VISUAL
aHash
|
00c0c0c00000ffff |
|
VISUAL
dHash
|
96949c9c98f8d000 |
|
VISUAL
wHash
|
c2c2c4c4c408ffff |
|
VISUAL
colorHash
|
02000000038 |
|
VISUAL
cropResistant
|
96949c9c98f8d000,626032b2c03333e0,8d8d8f8b4a9ef6fc,b0a0604080800000 |
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.