Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T185334B736731B8A883DB42EEEB382D59B2C5549DE8CB4400F6C9569D23C7CD16287BB4 |
|
CONTENT
ssdeep
|
1536:af+EsZ/8VPDVR1KMjBARMMjBRDrpRXPZlQaQD9OehM+BrUgq4z:awAR1wRXDrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
af91d3d1d4d191c4 |
|
VISUAL
aHash
|
c381818181818181 |
|
VISUAL
dHash
|
2b2b2b23232b2323 |
|
VISUAL
wHash
|
ff83838383c3c3c3 |
|
VISUAL
colorHash
|
02001000180 |
|
VISUAL
cropResistant
|
2b2b2b23232b2323,c90b2b03031b4343 |
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.