Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16353E9F938946056076290D3A0BF3A8AF33A186FB91C5591B0B4CBE571F84F5606AF4F |
|
CONTENT
ssdeep
|
1536:IqNFIx3OMHUmFnGyC7qb9PQjYVyOloQzZs8oWQbp:T2dn9ds8oWA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac7833939bdccc0c |
|
VISUAL
aHash
|
c3c3c3c7017f3f3f |
|
VISUAL
dHash
|
1b171707cbd56968 |
|
VISUAL
wHash
|
8183c3c3013f3f3f |
|
VISUAL
colorHash
|
06038000000 |
|
VISUAL
cropResistant
|
1b171707cbd56968,151d692952c63535,3331dad8cdcd2d2d,d95945450386848e |
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 477 techniques to evade detection by security scanners and make reverse engineering more difficult.