A missing dog, a $10,000 reward and a suspected AI fake

For a moment, Westyn Ruyter had reason to believe he was getting Bundy back. A stranger said they had found his missing Irish wolfhound and proposed a meeting at a general store in his hometown. After putting a A$10,000 reward on Facebook, he had received the message he desperately wanted. Nobody arrived with the dog. ¹

What followed was not a reunion but a photograph: Bundy apparently inside a crate. Ruyter said it looked like someone had taken the very picture he had posted to help find his dog and placed him in a different setting. The sender then stopped replying, according to his account to ABC Western Australia, published on October 27, 2026. ¹

The reward was an offer, not a documented loss. ABC did not report that Ruyter paid the stranger, or that the stranger demanded payment. What his account does establish is the emotional cost of a promised reunion that never happened. ¹

The proposed meeting had a concrete, familiar setting: a general store in Balingup, Ruyter’s hometown, 240 kilometres south of Perth in Western Australia. The promise was not simply that Bundy was somewhere out there. It offered a place where Ruyter could supposedly collect him. Only after nobody showed up with the dog did he become suspicious and ask for further proof. ¹

“They just sent me a photo of him in a crate, and it’s obviously AI,” Ruyter told ABC. He pointed to a bowl that looked fake, cage bars blurred in front of the dog’s face and, most importantly, what he recognised as his own Facebook photograph. “They’ve just put him in a box,” he said. ¹

That is Ruyter’s assessment, not an independently authenticated finding about how the image was made. The reporting does not establish which software, if any, produced it or who controlled the account. But his central objection goes beyond spotting visual flaws: a picture copied from his appeal could show a recognisable Bundy without showing that its sender actually possessed him. ¹

The Australian Competition and Consumer Commission’s National Anti-Scam Centre says people searching for missing pets are being targeted by scammers. In the warning reported by ABC, the centre described fabricated images being used as apparent evidence that a stranger has an animal, followed by demands for money, gift cards or cryptocurrency for its return. ¹

“Scammers exploit situations that are urgent or emotionally distressing,” its spokesperson said. That describes the leverage available in a missing-pet appeal: an owner wants to act quickly, and a claimed finder offers a way to end the uncertainty. The image is meant to turn that promise into something that looks verifiable. ¹

The centre’s account of the wider scam must not be grafted onto Ruyter’s experience. No demand for those forms of payment is established in his case. Nor do the available official figures establish a count or loss total specifically for missing-pet scams involving AI images. Broader pet-fraud or all-scam totals would measure something else. ^{1 11 16}

The vulnerability is not that owners have failed to keep a secret. Publicity is often the point of an appeal. A photograph helps other people recognise the animal; a location helps neighbours know where to look. But the same material gives a dishonest stranger details they can repeat back as if they had discovered them independently.

Paul Haskell-Dowland, Edith Cowan University’s Professor of Cyber Security Practice, told ABC that scammers search community groups for sensitive information. He described AI and automated information-gathering tools making approaches more personally targeted over the past three to four years. That is his assessment of changing capabilities, not a measured rise in this particular category of scam. ¹

“No longer are the scams seemingly irrelevant to us — they now have genuine feelings of authenticity,” he said. He urged greater caution about what people share online, even when desperate. His advice identifies a difficult balance; it is not a specific checklist for missing-pet posts or an instruction to abandon a public search. ¹

Scamwatch’s general guidance is to pause before giving money or personal information and to check that the person receiving a payment really is who they claim to be. Its AI guidance warns that technology can make scams more convincing and personalised, including through tailored apparent evidence. These are general safeguards, not a pet-specific verification protocol. ^{22 21 20}

For a missing-pet owner, the important distinction is between recognising the animal and verifying the sender’s claim. A familiar dog in a photograph can make a message feel intensely personal. It cannot, on its own, establish that the sender has found the dog or can return him.

Bundy’s recovery remains unverified in the available reporting, as does any further contact from the sender. Ruyter’s account ends with the picture and the silence—not with a recovered dog or an established financial loss. The promise briefly made homecoming seem possible. The photograph did not make it real. ¹