Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136929420A856BC77529732C4BB7B933822D95208EA290F0067FCC7AD57FAD60FE35118 |
|
CONTENT
ssdeep
|
384:YPx47uzrql+K6mfpS7InTrrYAqmFAtIo3+3:YPKuzrQXLYEFkIB3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
926df4926563c6b2 |
|
VISUAL
aHash
|
c0c080200e0e0e3e |
|
VISUAL
dHash
|
0607494bd9d9d9d8 |
|
VISUAL
wHash
|
c0c0e02d0f3f3f3e |
|
VISUAL
colorHash
|
19000c40000 |
|
VISUAL
cropResistant
|
5b5b222b237a2b2b,0004e3234b585a58,0607494bd9d9d9d8 |
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 39 techniques to evade detection by security scanners and make reverse engineering more difficult.