Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T149B38933411835274437C6D530A55B3BE2A69E5FFAA70A010EECD7EB1BFACA0745B11A |
|
CONTENT
ssdeep
|
1536:BaLz4NP/y9svbliCdjdA8FtiuCa28y2O9:OmAeAv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d360ed369d699445 |
|
VISUAL
aHash
|
00006000040460ff |
|
VISUAL
dHash
|
98ccc4caecccc3b8 |
|
VISUAL
wHash
|
006c7838060effff |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
04324c4d4d4c3008,c004800158588090,9888c4c0eaccccc3 |
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.