Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109A38A33411935274437C6D530A65B3BE2E6995FFAA70A010EECD7EB2BFACA0744711A |
|
CONTENT
ssdeep
|
1536:cpELz4NP/y9svbliCd0L4ALSUIFtiuCa28y2O9:QqmAe2SUb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362dc38bd28bd43 |
|
VISUAL
aHash
|
00602000000030ff |
|
VISUAL
dHash
|
98ccc8cacc3cc1d0 |
|
VISUAL
wHash
|
00fc7c700600ffff |
|
VISUAL
colorHash
|
07000180001 |
|
VISUAL
cropResistant
|
0080810030108080,98cccccacccc0ec0 |
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.