Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D93D9725118793B01E382C5A7353B6FF3A5824BD6C3052992FD83596BCAD90FE3B498 |
|
CONTENT
ssdeep
|
1536:8TisbW8rsr24urz97SSp+RKjDj1U5sIqkwnsITSwQsITKw5Hg8n:8Tisze24KS5RsU5sIqkwnsITSwQsITKM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c31ee1e13ce13d1c |
|
VISUAL
aHash
|
0200006000606460 |
|
VISUAL
dHash
|
dce961c464c4d4d4 |
|
VISUAL
wHash
|
663c1074747c667e |
|
VISUAL
colorHash
|
38000030040 |
|
VISUAL
cropResistant
|
cc92909e81929c9d,9a32b2b2b2b2b2b0,dce961c464c4d4d4 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.