Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7124033A600DD2A8D9755CCF2C09589421DD34AFB3148CBB1A491BF7BC0DF069A979D |
|
CONTENT
ssdeep
|
192:R35WLd8duvdmMxOfxOMcnthWeNWbifMmUU8VCo16877kOE:HsdPfMmUFCoMZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a424f3333527d335 |
|
VISUAL
aHash
|
0313131303ffffff |
|
VISUAL
dHash
|
1666666636000400 |
|
VISUAL
wHash
|
0303030303bffdfc |
|
VISUAL
colorHash
|
061c0000000 |
|
VISUAL
cropResistant
|
1666666636000400,0341314949354101,0000044b4b4bdf64 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.