Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T150F283B08298A86B0197ABE1E3755B5B7BC08349CB430B4193FC8B5C9FFADE4DC59950 |
|
CONTENT
ssdeep
|
768:cq5nYZu+TRPf/UL6RfD/e4ezeTe2eqelJ:XnYZu+TRPf/UgfD/e4ezeTe2eqelJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f83f817555441f43 |
|
VISUAL
aHash
|
008191d3c0c0f07e |
|
VISUAL
dHash
|
073b2327173b82c4 |
|
VISUAL
wHash
|
00c1c3d3c3c1fe7e |
|
VISUAL
colorHash
|
18001000180 |
|
VISUAL
cropResistant
|
e7e1e0e8e9dcc080,353933130bbc81c3,0004721f0f600102,073b2327173b82c4,a4d0e874b85d2f13 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.