Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17E2311215D44ED3B00DF6AC46576A22962F64359C7031689FAF8E3FA9B9ED6CCA33044 |
|
CONTENT
ssdeep
|
768:J+wZcmsIx/jjmdnvH5EfSPO9Ef5PCHEfeJPgsxuGL6nkA2VBn8DI5Uf7x:gwZJsIxvmdnvcuGL6nkA2VBn8DI+7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f27641090d777636 |
|
VISUAL
aHash
|
00e5c5878d44ffff |
|
VISUAL
dHash
|
542d2d2c399d0906 |
|
VISUAL
wHash
|
00c5c5870505ffff |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
342d2d2c399d4986,0004000414541400,0901c59f33271f78,0703050305014129 |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.