Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11E733022380E096FB257D3D692F4FAA7CD91DD0ACE700E41DAB59FCACA90F11B675118 |
|
CONTENT
ssdeep
|
768:Yhbb4hg4V+zdVLTx5/F/lZoEQsq8eg6CRiy4bkswiiaV7:wbV4V7V7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a94372f2b666cc4 |
|
VISUAL
aHash
|
00ffffff09002000 |
|
VISUAL
dHash
|
dc58b4d0d373c81b |
|
VISUAL
wHash
|
00ffffff19003c01 |
|
VISUAL
colorHash
|
30200030000 |
|
VISUAL
cropResistant
|
79f43366a6a4e672,b195ef6d8d8d8d87,dc58b4d0d373c81b |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)