Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A427033E6008C2A499B558CF2C4968D525ED345FB3248CAB26491FF7BC4DF065A93AE |
|
CONTENT
ssdeep
|
192:qgAp/xUfROYcAcZch4XySZxKMcnthWeNWbtv4nO0VfMmUU8VCoy+:c2R5cAcZch4Xx0VfMmUFCoz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f2faca4ae24aca58 |
|
VISUAL
aHash
|
ffffffff000000ff |
|
VISUAL
dHash
|
c93c0d0824447524 |
|
VISUAL
wHash
|
fdffffff00000010 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
99c11c3d000d0834,0000000000000000,26c644c47644a424 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.