Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A234C766731B9A883DB91EEE7382D59B2C5449DFCCB4410F5C99A8D23C7C902287BB4 |
|
CONTENT
ssdeep
|
1536:aJ+EsZ/8TDVRmMjBGRxMjBzrpRXPZlQaQD9OehM+BrUgq4FJ:aWKRyR+rpR/PkEeDFJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ba6f6e2b2e6e9080 |
|
VISUAL
aHash
|
0081ffffffffffff |
|
VISUAL
dHash
|
4d351837191d3f39 |
|
VISUAL
wHash
|
0000c38fcfcf87df |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
4d351837191d3f39,0000000000000000 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.