Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D2349726332B47843DB92DEF7392A46B2D69889F8C74550F1C99ACD23C3C806193BB4 |
|
CONTENT
ssdeep
|
768:aV+EsZx8/G8Ag4BDawMMdBKw9MdB63Ucix+y9dQpUDF1E56ITmHkLcZI2jPqDvBo:aV+EsZ/8ADBDawMMdBKw9MdB63UXx+yz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfc84ac17a912b95 |
|
VISUAL
aHash
|
fd818f878faf8f81 |
|
VISUAL
dHash
|
59353b3d1f5d5d5d |
|
VISUAL
wHash
|
fd818f87878f8f00 |
|
VISUAL
colorHash
|
06e00000000 |
|
VISUAL
cropResistant
|
59353b3d1f5d5d5d,1c01010101010101 |
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 17 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)