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New York man indicted for decade-long Social Security fraud scheme

Federal grand jury charges 68-year-old with wire fraud, identity theft and theft of government property
WHY IT MOVED
The indictment represents a criminal prosecution for systematic fraud against a federal benefits program spanning ten years.
✓ Official source Regulation & legal InstantWhy Newsroom 26h ago

What happened

Zvonko Klapan, a 68-year-old Liverpool, New York resident, was arraigned Friday in Binghamton on multiple counts of wire fraud, aggravated identity theft and theft of government property, according to the U.S. Department of Justice. A federal grand jury indicted Klapan on June 18, 2026. The charges stem from what prosecutors describe as a decade-long Social Security scheme.

Why it matters

Wire fraud and aggravated identity theft are federal felonies carrying substantial prison terms, with aggravated identity theft alone requiring a mandatory two-year consecutive sentence. The case is part of the Trump Administration's Fraud Task Force, signaling continued federal focus on benefits fraud enforcement. Klapan has not entered a plea and the charges are accusations that have not been proven.

Context & history

Aggravated identity theft requires prosecutors to prove the defendant knowingly used another person's identification in connection with a felony. Wire fraud involves using electronic communications to execute a scheme to defraud, and each communication can constitute a separate count. Theft of government property covers the fraudulent receipt of federal benefits. The combination of charges suggests prosecutors allege Klapan used stolen identities to obtain Social Security payments electronically over an extended period.

What’s next

Klapan appeared before Magistrate Judge Miroslav Lovric for arraignment. The case will proceed through pre-trial motions and discovery, with prosecutors required to prove the charges beyond a reasonable doubt. The defendant is presumed innocent unless convicted at trial or through a guilty plea.

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Artificially generated from public sources, explained in our own words, and published as fast as possible. Our team holds editorial responsibility. This is analysis, not investment advice.

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