Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD046A33421935270537C2D530AA577BD2969E5FFAA70A010EECD7FB2BEACA0745B019 |
|
CONTENT
ssdeep
|
1536:gN6IIaZRTk9PSGIhIEBa4MuoukD1tGYQP+IfNvHSlhsxhs:k/wlSMa78 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92816d3c187f92cf |
|
VISUAL
aHash
|
01637f0e0e0e8480 |
|
VISUAL
dHash
|
93cfcccccc2c2c33 |
|
VISUAL
wHash
|
03777f6e0e8ec4c0 |
|
VISUAL
colorHash
|
30200010600 |
|
VISUAL
cropResistant
|
4040b03030b04040,ffef92968eaffbff,93cfcccccc2c2c33 |
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 25 techniques to evade detection by security scanners and make reverse engineering more difficult.