Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0235B726332B8B843DB91DEF7382E46B2D2948DE9C74550F5C95A8D23C3C816287BB4 |
|
CONTENT
ssdeep
|
768:ad+EsZx8/G8ZiRF4JDawfMLBXow8MLBXkwZUcix+y9dQpUDF1E56ITmHDLBABW8n:ad+EsZ/8ZkOJDawfMLB4w8MLB0wZUXx8 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba3a6a6b6a2a2a39 |
|
VISUAL
aHash
|
00df8fdfefffffff |
|
VISUAL
dHash
|
45333b3713231602 |
|
VISUAL
wHash
|
009f83838bd983ff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
45333b3713231602,01025e26265e8201 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.