Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T144E4B720D429ADB9005749C574746F78A671A284CA138F80E7F4275BCBE6DDABA0F31F |
|
CONTENT
ssdeep
|
6144:9Q97Hr+v+hdA1zxVRNpTFjyhK1Ag9kkj9oh53rrZp358gRxFSagRdGilce+v2GJ2:miX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc8cc3b183c2d9e3 |
|
VISUAL
aHash
|
ff139b1101c9c1c1 |
|
VISUAL
dHash
|
a4a63737bbbbab8b |
|
VISUAL
wHash
|
ff5b9b1109c1c1d1 |
|
VISUAL
colorHash
|
07c01000040 |
|
VISUAL
cropResistant
|
a4a63737bbbbab8b,ce4ec78d19930723,030f1d387d3f7b99,431937094d6f5b3d,fdfedefff7fbfdff,273e6f69890b0d0d,3c5a5c7c3071c77b,199dcbef66763e2d,3c18393d0d830587 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.