Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10C827550675E28AF0107A6B3E904371878F694BEFE7B9314357C69BF36E2860CA27315 |
|
CONTENT
ssdeep
|
384:6W76wmcupIqPpT5HgsJGB+jPql0CI/T2bpMdlVKs3tsm9dbJ48f7CJZLo2cStEhy:6W76wmcup3PpT5HgsJHjPql0b/T2bidE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc1e5b436464535b |
|
VISUAL
aHash
|
00dfdf93f7efc3df |
|
VISUAL
dHash
|
c4303626268e2e2a |
|
VISUAL
wHash
|
008f9f93f3e78183 |
|
VISUAL
colorHash
|
07000400038 |
|
VISUAL
cropResistant
|
34382626240e2a2e,00063cd8dcd62444 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.