Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108829537A044353E1EF281C25B52236DF3674658EB015B29CEFE925D0BC9D8EEE3254A |
|
CONTENT
ssdeep
|
192:c2G31htZnGYVuwPlyIISNypil3ig2vnWzwhuRpBt/LUP1r7VgLC2WzCOZdpLQ01h:qMwPYIISJig2ezwk3ckxaDb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a947fc9238f2407e |
|
VISUAL
aHash
|
0020200000ffffc3 |
|
VISUAL
dHash
|
c4c7c7c7fff42b33 |
|
VISUAL
wHash
|
0021712103ffffdb |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
f000233b2b2b2b33,c4c7c7c7c7c3eff8,ff7ff6eafdccb3b2 |
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.