Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1157319A83519F5261AB343A710EF1403B379122B580D4D60B254FDAEB6BCC9BB067FD9 |
|
CONTENT
ssdeep
|
1536:nxxXLUqsLx4TESLwsGSMBDLw1j90+1LmjzQ:njUqrTTwsiW16+1b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13131cece3165ce |
|
VISUAL
aHash
|
cfcfc3cfffffffff |
|
VISUAL
dHash
|
9a9e9e9e040c0800 |
|
VISUAL
wHash
|
00000000cfc3ffff |
|
VISUAL
colorHash
|
07001000180 |
|
VISUAL
cropResistant
|
9a9e9e9e040c0800,9790949010909091 |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)