Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142A4D7B4166164B69453D3E8E2223D3E7023E67EC702C108A7BD2A456FE7CF97C694E4 |
|
CONTENT
ssdeep
|
3072:KiEnDTDbowBaF4PdaFj4YaFveZaFXrAaF1FkaF4CZy67/5Pp:KiEn/DsMHp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936d6cc631939b54 |
|
VISUAL
aHash
|
00103c3c3c3c3c00 |
|
VISUAL
dHash
|
176579597871793e |
|
VISUAL
wHash
|
003c3e3e3e7f3f00 |
|
VISUAL
colorHash
|
07218000400 |
|
VISUAL
cropResistant
|
e25a1a1a9c7a30b0,176579597871793e |
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 2023 techniques to evade detection by security scanners and make reverse engineering more difficult.