Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14B725733F184353F2FF711D17B612B5AAB76804AA201151D85BCA38C0BD6F49ED3766A |
|
CONTENT
ssdeep
|
192:cH50YluSIIMXWOG/8DVwTn04a95Mmyye6pE1/6gWOs6hI:knuSIIMXWOG/8WT04BmGMiSgls6hI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
876757901bfad103 |
|
VISUAL
aHash
|
0020000000ffff00 |
|
VISUAL
dHash
|
c4e7c7c7fcd007d0 |
|
VISUAL
wHash
|
003171013fffff18 |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
4444959756d29495,f08041861e060000,c4c7c7c7c7e7eff8,00400ed0d038c040 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.