Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T101A3DD234219762A4537C3C134AA5B7BD1A6998FFEE609004EECC7F62BF9CA0741B15D |
|
CONTENT
ssdeep
|
768:YyrTtpR4nXF6YjOpSpFlTC6rrWau3H56Lefn:YyvtpR4nXBKpSpFl26v1u3Z6Lefn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93136d09d3137d2d |
|
VISUAL
aHash
|
00170f2e2e0f01ff |
|
VISUAL
dHash
|
9cbf3cdcdcb9f300 |
|
VISUAL
wHash
|
00070f3f3f0f01ff |
|
VISUAL
colorHash
|
00003400400 |
|
VISUAL
cropResistant
|
fdb75cdcdcb9f700,dcbf3ddcdc98b377,b99315959195b3b3,6a86c781a7a7a6ac,68081032320c21d4 |
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 113 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)