Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16CE11CF1D040ED37035386D9A7B96B4BB791C349CF07094593F883AB9BCACA0CB1559A |
|
CONTENT
ssdeep
|
192:QzXnbzDJ1zwt8iIGwYBZqF91UwVXrybaqw:Qz/NE1Zw3fDFaaqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464939b9bc3439a |
|
VISUAL
aHash
|
f3d3f3f3dfffffff |
|
VISUAL
dHash
|
26262626b0460000 |
|
VISUAL
wHash
|
90d0c0c0cfffff00 |
|
VISUAL
colorHash
|
07000000030 |
|
VISUAL
cropResistant
|
26262626b0060000,dc70335c6069fc7f |
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.