Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183A1973100196C174B8384E9A6F16A07F6DAC525C5435786D5F803CC6FFFEE1EA9A298 |
|
CONTENT
ssdeep
|
48:43L1J+C7pCDwaztAo1CqdcdWSxsAWdcdWZqSLefodPBogTcHxW5FGNamo1FcMM/E:432ZztA81OsOKLefpgCgcMM/OynwbCcr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999666699996666 |
|
VISUAL
aHash
|
0000181818000000 |
|
VISUAL
dHash
|
100c32b2b2300410 |
|
VISUAL
wHash
|
0c0c1c1c1f1f0f0f |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
b2bac6a2a28a33b2,100c32b2b2300410 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)