Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T173A36933411935274437C6D530A55B3BE2A69E4FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:lAELz4NP/y9svbliCdIu72oFtiuCa28y2O9:NmAGm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9323f53ad40cd44f |
|
VISUAL
aHash
|
00000000000400ff |
|
VISUAL
dHash
|
1c5952f0f9bd73f0 |
|
VISUAL
wHash
|
02af3f181c0f18ff |
|
VISUAL
colorHash
|
11010000c00 |
|
VISUAL
cropResistant
|
617800c1383080a0,1c594af0d0f93d73 |
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.