Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117A37933411935274037C6D530A59B3BE2E6995FFAE70A010EECD7EA2BFACA0745711A |
|
CONTENT
ssdeep
|
1536:qYQLLz4NP/y9svbliCdbs75uB/HFtiuCa28y2O9:9kmAZy/c |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d372d1389d49bc0b |
|
VISUAL
aHash
|
00000000000030ff |
|
VISUAL
dHash
|
98cccccacc0cd3d0 |
|
VISUAL
wHash
|
00eef4620600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080810030108080,98cccccacc0c06d2 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.