If you run an ecommerce store, the last few months have felt different. Critical bugs keep landing in the code our shops sit on, and more of them are being found with the help of AI.
I work in ecommerce, so I've been watching two cases closely: the PHP2Shell flaws and StyleSmuggler in Adobe Commerce. They tell different halves of the same story.
Google's Threat Intelligence Group reports that vulnerability disclosures roughly doubled between January and July 2026, from about 5,000 to about 10,500 a month. The same research found that flaws likely discovered with AI are more likely to allow remote code execution: about half, against roughly a quarter of other CVEs.

Google also calls the evidence of AI-found flaws being exploited an early indicator, not an established trend. I think that's a fair way to hold it.
In October, the PHP Foundation disclosed two critical flaws, CVE-2026-109618 and CVE-2026-109619, together known as PHP2Shell. They allow unauthenticated remote code execution. TechCrunch's write-up notes that banks, retailers, online stores and hospitals took servers offline to patch.
PHP runs a large share of the web, and that includes much of ecommerce: Magento, WooCommerce, PrestaShop and custom builds. When PHP itself is the problem, there's no single plugin to disable.
Reports say researchers at Calif found the bugs with help from OpenAI models. One caveat: TechCrunch says the bugs were first spotted in 2024 and judged not exploitable at the time, which is a different timeline. I'd treat the exact origin story as still settling.
StyleSmuggler (CVE-2026-75650) came to light differently. Sansec spotted it because attackers were already using it. Exploitation started on September 4, and Adobe's emergency hotfix arrived on September 7. It scored a CVSS of 10.0 and gave unauthenticated attackers remote code execution on Adobe Commerce and Magento Open Source.

The same report says attackers used it to drop a Rust backdoor and a PHP web shell. One managed Magento server was reportedly compromised about 50 minutes after the first confirmed exploitation.
I haven't seen any source say AI found this one. It belongs here because it shows what the downside looks like when a flaw is found by attackers first.
The web runs on shared code that a small number of people maintain, often for free. For years that worked because finding a deep flaw was slow and expensive. AI has changed that cost, and the rest of the system hasn't caught up.
What would help is mostly the basics, done at a bigger scale and a faster pace, and it falls on all of us:
AI is making vulnerabilities visible faster than anyone can fix them. That helps security over time and hurts in the short run. How much it hurts depends on whether we treat patching as someone else's job.