Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCA2FA305268B43D69074BDCEA758591137FE2BDF50305086EAD03EAA3E2DD7E81B3A4 |
|
CONTENT
ssdeep
|
384:0DlyJHWlk1GL8uL831m01m2nLMq+SHeLwYF22CstvqFs:zJHWS1r4Jqa |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb3b331dc4c4c4cc |
|
VISUAL
aHash
|
0f07ffffffffffff |
|
VISUAL
dHash
|
ba3a441800000000 |
|
VISUAL
wHash
|
06060000fffff700 |
|
VISUAL
colorHash
|
070010000c0 |
|
VISUAL
cropResistant
|
ba3a441800000000,dadad2d2d2d4dcce |
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 352 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)