Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A92F833A1496A370AE382D12B79532FB3D19289DEC30B98D6F9834D47D2D94FD3A106 |
|
CONTENT
ssdeep
|
384:jRRP0/5ghcXSsP1z578g17KXL18A6qQ3BQOCV2zhNKzE4z1:jRB0ichHbBXCV2zhoL1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b84db2cd32cdb2c2 |
|
VISUAL
aHash
|
9900000007ffffc7 |
|
VISUAL
dHash
|
33f1f2b38d02330d |
|
VISUAL
wHash
|
91000000ffffffc7 |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
04002b23236b00b4,201924aaaeb34000,1a2c2633321c0d0d,0040812101410000,b3f1e8b3f3b2f1ad,802bd0d4dc2bc400,a10040402021d2b2 |
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.