Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T161525248B61438A653278BEFB8A93D056053F34AC29184C9B33155FFB3D8938B5D639E |
|
CONTENT
ssdeep
|
384:5fu/Y7R/aFOFyFIFcdKC/ZMoKwP2eCYstbFft:DyFOFyFIFcYC/vP2eCYsh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a78f4de360e862a9 |
|
VISUAL
aHash
|
ffbfe7ffe7e7ff00 |
|
VISUAL
dHash
|
c3704f0c0c4c0094 |
|
VISUAL
wHash
|
610001e7e7e7ff00 |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
c3704f0d0c0c0894,9494947b04215266 |
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 12 techniques to evade detection by security scanners and make reverse engineering more difficult.