Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E4031D20B800EC2A00DF59C866B7162662F98345D61306DAFEB6C3F95BAFC7CDA37554 |
|
CONTENT
ssdeep
|
768:25MAs2R/j/M92IYvn+Ehz2Igh5KACD3uscH93wal8Uf7d:25vs2RzM92IYvn+Ehz2Igh5KRD+sEFw+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a24db32c927365b3 |
|
VISUAL
aHash
|
6000200017130fff |
|
VISUAL
dHash
|
9043cae5b6b6bccd |
|
VISUAL
wHash
|
ff0020101f135fff |
|
VISUAL
colorHash
|
0b000000180 |
|
VISUAL
cropResistant
|
8f7ce08020a4a0f8,a981c5c5c1c3c3c3,9043cae5b6b6bccd |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)