Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FA04316393771902407ED1C9B1FF475A21C186BCF6074A71E3AC53AE69CF9A73A0129B |
|
CONTENT
ssdeep
|
1536:06Meieeeeeeeeeeeeeeeeee9eeeeeeeeeeeeeeeeeee2eeeeeeeeeeeeeeeeeeey:yP57r64pa/eGit8c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
906d1b9b6c31cec3 |
|
VISUAL
aHash
|
007e62427e7e6e7e |
|
VISUAL
dHash
|
23c4c686f4dcdccc |
|
VISUAL
wHash
|
007c42427e7e6e7e |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
23c4c686f4dcdccc,0000000000000000,66e6b32b3572f377,8f8f0f2965757272,56a36ba3b2f6f609,6b6994b676f4f42d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.