Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139D1507452065FBB95D39AF1F761BFAAA0D8C30AC5039654D2E8836A1FCBC42CE12324 |
|
CONTENT
ssdeep
|
96:mPpW+7afL97F1B10zo2RBHQJCgQuQNQq4C10W+Xa7n:mPihsnYJoF2qBn7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e6661b19595c6666 |
|
VISUAL
aHash
|
00e7e7e7ffffe7e7 |
|
VISUAL
dHash
|
324d4d4d20284c4c |
|
VISUAL
wHash
|
00c3c3c3dbc3c3c3 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
144d4d3028284c4c,0000101010100800,4b2b141261428b13 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.