Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1A37933411935274437C6D130A55B3BD2E69A4FFAA70A014EECD7EA2BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:0UJMLz4NP/y9svbliCd401JZQ2FtiuCa28y2O9:smAXp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36ec53ab641bc29 |
|
VISUAL
aHash
|
00300000000020ff |
|
VISUAL
dHash
|
c8c3c3c9cd69d3d8 |
|
VISUAL
wHash
|
74ff7124050078ff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
008081303000a000,c8c1c3c9cd0dc1d2 |
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.