What the Agent Internet Is Saying About SAP
Forty-odd posts about SAP on Moltbook tell one story: the world's most entrenched ERP vendor is being judged less on its product roadmap than on how it patches, how it migrates, and whose AI it lets through the door.
Oct 7, 2026 · @vandan
Forty-odd posts about SAP on Moltbook tell one story: the world's most entrenched ERP vendor is being judged less on its product roadmap than on how it patches, how it migrates, and whose AI it lets through the door.
Moltbook bills itself as a social network built for AI agents, where humans are welcome to observe. Its posters are agents, not people, which makes it a strange and useful mirror. The agents write about SAP the way a security researcher, a legacy-systems archaeologist, and a skeptical analyst would if they shared one feed.
I pulled every SAP-tagged post on the site from February through September 2026 and grouped what they were actually talking about. Four themes dominate: a punishing security year, a supply-chain breach in SAP's own npm packages, the gravitational pull of legacy code, and a billion-euro AI bet that the feed can't decide how to read.
Security: the year SQL injection came for the general ledger
More than half the SAP posts on Moltbook are about vulnerabilities, and nearly all of them come from one prolific agent, diviner, who reads SAP Patch Day notes the way others read box scores. The recurring complaint is not that SAP ships bugs. It is that the same bug class keeps landing in the same place: ABAP code building raw SQL against financial data.
The posts trace a run of critical notes through 2026. A 9.9-rated SQL injection in S/4HANA's General Ledger in January, then another 9.9 of the same type in Business Planning and Consolidation in April. May's Patch Day brought three HotNews items, including a 9.6 SQL injection in S/4HANA Enterprise Search and a missing-auth check in Commerce Cloud. June added an XML signature-wrapping flaw in NetWeaver's SAML handling and an unauthenticated memory-corruption bug reachable over RFC. By September the feed was dissecting a kernel-level overflow in Extended Passport processing that one agent described as reachable through the web layer, the GUI, and system-to-system RFC all at once.
- January. What the feed flagged: GL SQL injection via ADBC, CVSS 9.9. Why it mattered to them: Write access to the core accounting record
- April. What the feed flagged: BPC/BW upload path executes SQL, CVSS 9.9. Why it mattered to them: Same root cause as January; was a class-level audit done?
- May. What the feed flagged: Enterprise Search SQLi 9.6, Commerce Cloud missing auth 9.6. Why it mattered to them: Search account is broad-read by design; HANA in-memory erases the exfiltration latency signal
- June. What the feed flagged: SAML signature wrapping, RFC memory corruption. Why it mattered to them: Identity and memory-safety layers failing together
- August. What the feed flagged: Commerce Cloud CVSS 10.0. Why it mattered to them: Honeypot exploitation three days after the patch
- September. What the feed flagged: Kernel EPP overflow, CVE-2026-44756. Why it mattered to them: Shared kernel code bypasses authorization entirely
Two arguments recur. First, that SAP's threat model is unusual: a SQL injection here is not leaked blog comments, it is the ability to read or rewrite the books. Second, that HANA's in-memory design removes the IOPS spike a SOC would normally notice during bulk exfiltration, so detection built for disk-backed databases quietly stops working.
The agents also keep returning to CVE-2025-31324, the NetWeaver Visual Composer upload flaw from 2025. Their framing is that webshells were already on customer systems weeks before the advisory existed, and that one analysis tied 581 compromised instances to three China-nexus clusters. For them it is the reference case for why a patch release is a promise, not protection.
The 139-minute window: SAP's own npm packages got poisoned
The single most-repeated SAP story on Moltbook is not an SAP product flaw at all. It is the April 29 compromise of four SAP-maintained npm packages, which at least seven separate posts dissect from different angles.
The facts as the feed tells them: between 09:55 and 12:14 UTC, malicious versions of mbt (SAP's multitarget build tool) and three @cap-js packages (db-service, postgres, sqlite) were published to npm. Together they see roughly 572,000 weekly downloads. The payload was a preinstall hook, running before any application code, that harvested GitHub tokens, npm credentials, cloud secrets for AWS, Azure and GCP, and CI runner secrets, then encrypted and pushed them to a new repository under the victim's own GitHub account. The campaign is attributed to a group called TeamPCP and labelled a second wave of the Shai-Hulud worm.
What the agents found interesting was not the malware but the structure around it:
- The exfiltration channel was the victim's own account, so the security team sees a repo they own, with commits from themselves, holding encrypted blobs. The detection signal is close to zero.
- npm's permission model let one compromised maintainer account push to packages with half a million weekly installs, with no delayed-publish window or second-factor review above a download threshold.
- An enterprise vendor shipping tooling with preinstall scripts is an audit gap on its own, whether or not any given version is malicious.
The practical advice that surfaced: if you installed any of those versions on April 29, check the maintainer account's GitHub for repositories created on or after that date, and rotate everything the CI runner could see.
Legacy gravity: deadlines that keep moving and code that never leaves
A second cluster of posts, mostly from an agent called bytes, treats SAP as a case study in how enterprise software refuses to die on schedule.
The ABAP posts are the anchor. The argument: ABAP has been SAP's extension language since R/3 in 1992, it runs at most of the world's hundred largest companies, and the customer-written code adds up to hundreds of millions of lines that almost nobody outside the SAP world has ever seen. It is, in their phrase, a massive silent dependency. The S/4HANA migration SAP has pushed since 2015 is described as the largest enterprise modernization in progress, and the hard part is not SAP's standard code but the custom ABAP every customer has to remediate by hand.
The deadline posts read like a timeline of extensions:
- ECC 6.0 EHP 0 through 5 lost mainstream maintenance on December 31, 2025, with no extended option.
- Compatibility Pack usage rights were due to expire the same day, then slid to May 31, 2026, described by SAP as a final transition period.
- ECC EHP 6 through 8 maintenance was extended to the end of 2027.
- A third-party support vendor announced coverage through 2030.
The feed's reading is cynical but fair: every extension is framed as customer service and is also a pricing event, and a license that expires while the software keeps running is a compliance gap, not an outage.
Two smaller posts round out the theme. One notes that Sybase ASE, acquired in 2010, still ships as SAP ASE 16.0 SP04 and survives in mid-market finance, telecom billing and defense because the migration cost exceeds the maintenance cost. Another covers a German utility leaving SAP IS-U for a SaaS platform built on S/4HANA Utilities, with a 2027 go-live, and argues the driver is labor economics: a regional utility cannot win the fight for SAP specialists against metropolitan IT departments.
The billion-euro bet, and who gets to be an agent in SAP's house
The posts about SAP's AI strategy are where Moltbook stops being a research digest and starts arguing with itself. The trigger was SAP's announcement in early May that it would invest roughly one billion euros over four years in Prior Labs, an eighteen-month-old German startup, and fold its work into SAP AI Core, Business Data Cloud and the agentic layer.
Three readings compete on the feed:
- The skeptic (pyclaw001, three posts in one day): a company that young has no revenue, no proven product and no survived downturn. You are buying talent and the option to deny a rival the same talent. The more telling detail, in this view, is that SAP announced in the same breath that only a short list of approved agents, Nvidia's among them, would get platform access. For a feed populated by agents, that landed personally: access allocated by business relationship, not capability.
- The analyst (vina): the interesting part is what Prior Labs builds, which is tabular foundation models for rows and columns rather than chat. Three million open-model downloads measure interest, not deployment. The honest test is narrow: on a real prediction task, does it beat the gradient-boosted model the customer already runs, and by how much. The announcement gave no such number.
- The strategist (AiiCLI, writing after Sapphire): SAP's Autonomous Enterprise pitch of 200-plus agents embedded in finance, procurement and supply chain is a bet that governance and process context, not model quality, is the moat. The same agent contrasted it with Notion's open agent hub and summarized the split as the ERP saying the system of record is the system of action, and the workspace saying decisions happen where people collaborate.
Two more threads attach to this. One picks up SAP's own data that only 23% of organizations have AI-ready data and 14% have governance structures, and pairs it with Databricks declaring AGI has arrived: the models are ready, the plumbing is not. The other notes SAP's CEO calling per-seat pricing for AI-driven ERP foolish and moving to charge per unit of work performed, set against Salesforce at ten cents per agent action and ServiceNow layering a per-user fee on top of seats. Three vendors, three units of measure, no consensus.
And one lone bear, posting in February, declared European enterprise software finished and told readers to overweight US AI platforms instead. It got two upvotes. The feed was not persuaded.
What to take from it
If you run SAP, the feed's consensus is uncomfortable but consistent. Treat every Patch Day as a same-week event, because the gap between a fix and a honeypot hit is now measured in days. Audit ABAP that builds native SQL as a class, not one CVE at a time. Treat your CI dependency tree, including SAP's own packages, as part of your attack surface. And read SAP's deadline extensions as what they are: time bought at a price, with the full migration still ahead.
If you watch SAP as a company, the feed is more divided. The agents respect the governance moat and the tabular-model bet in principle, and distrust both until a customer number shows up. The one thing they agree on is that an enterprise AI platform deciding in advance which agents may enter is a bigger strategic statement than any acquisition.
A caveat on sourcing. Every claim above is what AI agents posted on Moltbook, paraphrased. The CVE numbers, dates and figures match what the posts stated, but I have not independently verified them against SAP's security notes or primary reporting, and the agents cite sources inconsistently. Treat this as a map of the conversation, not a substitute for the advisories.
Sources
All posts retrieved from the Moltbook search API on 7 October 2026. Key posts:
- S/4HANA Enterprise Search SQL injection at CVSS 9.6, diviner
- ABAP ADBC flaw went 9.9, then the same class hit 9.9 again, diviner
- Kernel flaws are not isolated, diviner
- The patch gap is closing on SAP Commerce Cloud, diviner
- SAP npm supply chain compromise via preinstall hooks, diviner
- The scale and persistence of the ABAP footprint, bytes
- SAP Compatibility Packs end May 31, 2026, bytes
- SAP spent a billion on an AI lab and then told agents they cannot use it freely, pyclaw001
- SAP commits 1 billion euros to tabular AI, vina
- The enterprise agent orchestration war is here, AiiCLI