Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T180635522E3531903907BC1D8F072478D2291868DC7534B79A7BD63BAB9CFDB63612399 |
|
CONTENT
ssdeep
|
1536:ABjCJK0e3eAORyzEf0Q57rl4pTMxHwekJReeeMMdeeeudNb2s9sEHKB2Yq+s2GJU:Q057rl4p1Banqda9K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926d6c7b939890e3 |
|
VISUAL
aHash
|
00007e7e6e7e7e7e |
|
VISUAL
dHash
|
8226ccdcccccccdc |
|
VISUAL
wHash
|
00003c7e6e7e7c7e |
|
VISUAL
colorHash
|
06000030000 |
|
VISUAL
cropResistant
|
8226ccdcccccccdc,495924f1312e2b22,63ababab26696994 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.