Security readout for executives and security teams
Plain-English summary
PTC reports a critical vulnerability in listed Windchill PDMLink and FlexPLM releases. An attacker could potentially make an exposed system process malicious serialized data and run code, threatening sensitive product data, system integrity, and availability.
Executive priority
Treat this as an immediate remediation priority for affected, reachable systems because successful exploitation could compromise product data and disrupt operations. Confirm ownership, exposure, and vendor-guidance implementation promptly. Escalate any suspicious activity to incident response.
Technical view
CVE-2026-77645 is an untrusted-data deserialization issue classified under CWE-20 and CWE-502. Its CVSS 4.0 score is 9.2. The vector indicates network reachability, high attack complexity, no required privileges or user interaction, and high impact to confidentiality, integrity, and availability.
Likely exposure
Organizations operating any specifically listed Windchill PDMLink or FlexPLM release should investigate. Internet-accessible or broadly reachable deployments deserve the fastest review. The supplied data marks versions outside the listed ranges as unaffected by default, but configuration-specific exposure details are incomplete.
Exploitation context
The supplied sources do not establish active exploitation, and the CVE is not listed as KEV in the bundle. Exploitation is described as requiring deserialization of untrusted data, while the CVSS vector reports high attack complexity. Absence of known exploitation is not evidence of safety.
Researcher notes
The public bundle identifies deserialization of untrusted data but provides no vulnerable component, request path, indicators, proof of concept, or specific fixed version. Avoid assuming exploitability across every configuration. Validate exact release and configuration applicability through PTC's advisory.
Mitigation direction
- Review PTC advisory CS474826 and apply its vendor-approved remediation or mitigation.
- Prioritize listed releases exposed to untrusted or external network traffic.
- Restrict network access to trusted users and systems until vendor guidance is implemented.
- Preserve relevant application, proxy, authentication, and endpoint logs before remediation.
Validation and detection
- Inventory Windchill PDMLink and FlexPLM versions against the supplied affected-release lists.
- Map external, partner, and internal network paths reaching each identified deployment.
- Confirm PTC guidance has been implemented on every affected instance.
- Review logs and endpoint telemetry for unexpected processing, child processes, or configuration changes.
- Reassess exposure after remediation using authenticated version and configuration checks.
Public sources used
Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.
Conservative CVE-to-ATT&CK context
These mappings and lookup hints may be relevant to the vulnerability behavior, CWE, affected product, or exposure path. Glexia-inferred context is not an official MITRE, ATT&CK, CWE, or CVE Program mapping.
ATT&CK lookup starting points
Use these exact CWE pages and searches to review the Glexia ATT&CK library from this CVE's weakness and description context.
CWE-20: Exact CWE lookup
Use the exact CWE identifier as the starting point before reviewing related ATT&CK behavior. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupCWE-502: Code execution behavior lookup
Code execution and unsafe deserialization weaknesses often justify reviewing execution behavior and process telemetry. Open the exact CWE lookup page first, then review the ATT&CK searches from that MITRE weakness context. This is a Glexia lookup hint, not an official ATT&CK mapping.
Open ATT&CK lookupExecution behavior lookup
The CVE wording references code or command execution, so execution technique review may help defensive triage. This is a Glexia inferred lookup path, not an official MITRE, ATT&CK, or CVE Program mapping.
Open ATT&CK lookupCVE-2026-77645 mapping review
Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.
Open ATT&CK lookup- Severity
- Critical
- CVSS
- 9.2 (4.0)
- Known Exploited
- No
- Published
Vector: CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:L/AU:Y/R:U/V:C/RE:M/U:Red
CNA and ADP enrichment extracted from CVE v5
These fields come from the CVE record and ADP containers, not from Glexia's Take. They preserve time-varying source decisions such as CISA SSVC, KEV status, CVSS metrics, and provider references.
SSVC decision data
CVSS vector scores
1 official scoreWe collect every scored CVSS vector available in the official CNA and ADP containers. When more than one version is present, the table keeps the source vectors side by side instead of collapsing them into the highest score.
CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:L/AU:Y/R:U/V:C/RE:M/U:Red——PTCVulnerability scoring details
Base CVSS 4.0 score
9.2CriticalVector: CVSS:4.0/AV:N/AC:H/AT:N/PR:N/UI:N/VC:H/VI:H/VA:H/SC:L/SI:L/SA:L/AU:Y/R:U/V:C/RE:M/U:Red
Vulnerability timeline
Timeline events are normalized from CVE metadata, CNA source timelines, ADP timelines, and KEV metadata when present.
- CVE reservedCVE Program
The CVE ID was reserved by the assigning CNA.
- CVE publishedCVE Program
The CVE record was published.
- CVE updatedCVE Program
The CVE record metadata indicates this as the latest update time.
ADP provider summaries
Source materials
- CVE List V5 sourceCVE List V5
- https://www.ptc.com/en/support/article/CS474826CVE reference, PTC · vendor-advisory, mitigation
Products and packages named in the record
CWE details
CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.
Improper Input Validation
Improper Input Validation represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.
Deserialization of Untrusted Data
Deserialization of Untrusted Data represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.