Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T178223E23F600CD2A899B1ACCF6C09A49461EC345FB3249CA71A481FFBBD4DF0659979D |
|
CONTENT
ssdeep
|
192:P+c3JsYcuYcrchhaEXaskxsabaPMcnthWeNWbnfMmUU8VCoJ:PvctcrchhhbCzfMmUFCoJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88ddaa7722772255 |
|
VISUAL
aHash
|
18183c1800000001 |
|
VISUAL
dHash
|
32b2b2aa14210001 |
|
VISUAL
wHash
|
1b1b1b1b00000001 |
|
VISUAL
colorHash
|
07006000040 |
|
VISUAL
cropResistant
|
e2e2c2f28eb09e86,32b2b2aa14210001 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.