Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16C234B726332B46843DB91DEF7382A06B2D2589DF8C74554F5C59ACD23C3C906297BB4 |
|
CONTENT
ssdeep
|
768:aa+EsZx8/G8CX4MDathMiB+otWMiB+2Ucix+y9dQpUDF1E56ITmHDLBABW8KPqDm:aa+EsZ/8CoMDathMiBztWMiBpUXx+y9t |
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.
Pages with identical visual appearance (based on perceptual hash)