Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A83364B52947383FF64386D6E676579EF2828306CA628D427BF183AADFC1D58FE04150 |
|
CONTENT
ssdeep
|
1536:5vdfriwnF2v8BvhUv1Fvylv6jvl34YBUrNhl61c6LvgF:5vdOwnF2v8BvhUv1Fvylv6jvlJUrNhlT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a8282f9775545e17 |
|
VISUAL
aHash
|
00410000ffffffff |
|
VISUAL
dHash
|
979bb1974f72d066 |
|
VISUAL
wHash
|
00010000fffffff7 |
|
VISUAL
colorHash
|
0a0000001c0 |
|
VISUAL
cropResistant
|
e4e4c4ec747cecec,969696b6b6be3efa,071ef16c888aaab0,979bb1974f72d066 |
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 136 techniques to evade detection by security scanners and make reverse engineering more difficult.