Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T120F142F1E194ED370B1281C5A7F67B2F76A1C315CB420A5093F853AA6BCEC61CB2159D |
|
CONTENT
ssdeep
|
96:TkoMz8pDfST8hdtVlS2wvFYehX0HF+peBXOX/4xytU6l+AT431:QoMz8puohd3laqMkIXwxyag8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e47c93db04fc036c |
|
VISUAL
aHash
|
ffdfd3d3d3f3ff3f |
|
VISUAL
dHash
|
00362626264600d4 |
|
VISUAL
wHash
|
fcc0c0c0d300ff3f |
|
VISUAL
colorHash
|
070000000b0 |
|
VISUAL
cropResistant
|
00362626264600d4,6a166a7248b6fa02 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)