Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C91C9385018403DCE1747C45F31636DA69BE2CED242106CEEFC4AA4B3E6DE9CC598E9 |
|
CONTENT
ssdeep
|
48:FJ+CctKc/eEQ2HI40bDFLRNpSuvlJEw/CZEq3ID69ExvwQYShjmOgYDYy11rg:CzKYe2o7JLBSMCuqa69Cvhn8OgYUyng |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13a1eb4e1383c97 |
|
VISUAL
aHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
dHash
|
5a5a5bdbda5a5ada |
|
VISUAL
wHash
|
0f0f0f0f0f0f0f0f |
|
VISUAL
colorHash
|
06000000007 |
|
VISUAL
cropResistant
|
80809cbeb2b08088,241a1acbd97c5255,0020066979062810 |
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 967 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)