Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EA225033B600DD298D9B958CF1C48649451EC349FB3149CAA5B480FF7BC4DF069AA7AD |
|
CONTENT
ssdeep
|
192:UYcgcOchuSIKQuaH541ixCPNpMcnthWeNWbXfMmUU8VCo4KI:jcgcOchuSInuaHYPN2fMmUFCow |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c58b394c33ad66a5 |
|
VISUAL
aHash
|
f8f8f0f0f0f0f0e0 |
|
VISUAL
dHash
|
0340422224244206 |
|
VISUAL
wHash
|
f0f8f0f0f0f0f0e0 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
034043212426424a,060c183468c1a089,0f2d584945713333,e0c7e070e38c0801,4d034365791b164e,0f16130929355b2b |
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.