Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FCA31AFC7615F12B0BB3529BF09B2403B276411F040E0CB2B65CED9E75E6C5BA1A7A49 |
|
CONTENT
ssdeep
|
1536:ssuerc4bELx4TESLwsGSMBDLw1j90+1LmjzQ:YiTTwsiW16+1b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e464ce9b9b9b8e20 |
|
VISUAL
aHash
|
bd32320c00ffffff |
|
VISUAL
dHash
|
796665989a641821 |
|
VISUAL
wHash
|
bd301010003fffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
796665989a641821,b48cc181ae2ede6e |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)