Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1147241791060673F8D8BEAD4BB2C936E6181938DCD338B43A3F6674D5AE9DE17841242 |
|
CONTENT
ssdeep
|
384:oNMz93IinfMrpTuJexTojHVFgE6NM5JpwCRdV:KMz94sMrpTuJexsbgjM5JpwCRdV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca68c269cacaeacb |
|
VISUAL
aHash
|
ff000018000000ff |
|
VISUAL
dHash
|
6900617070026868 |
|
VISUAL
wHash
|
ff003c3c3c0004ff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
0689696969698906,68686868691e9e00,6000607070600068 |
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 1 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)