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CVE Record

CVE-2026-28351: Manipulated RunLengthDecode streams can exhaust RAM

pypdf is a free and open-source pure-python PDF library. Prior to version 6.7.4, an attacker who uses this vulnerability can craft a PDF which leads to large memory usage. This requires parsing the content stream using the RunLengthDecode filter. This has been fixed in pypdf 6.7.4. As a workaround, consider applying the changes from PR #3664.

MediumCVSS 6.9Not KEV-listedUpdated
Glexia's TakeAutomated analysismoderate

Security readout for executives and security teams

Plain-English summary

CVE-2026-28351 affects pypdf, a Python library used to process PDFs. A specially crafted PDF can cause excessive memory use when RunLengthDecode content streams are parsed. The main business risk is service slowdown or denial of service in systems that accept or process untrusted PDFs. The issue is fixed in pypdf 6.7.4.

Executive priority

Prioritize remediation for internet-facing or business-critical systems that process uploaded or external PDFs. This is not described as code execution, but it can affect availability. Upgrade during the next urgent dependency maintenance window, faster for high-volume PDF processing services.

Technical view

pypdf versions before 6.7.4 are vulnerable to CWE-400 resource exhaustion. The advisory describes manipulated RunLengthDecode streams causing large RAM consumption during content stream parsing. CVSS v4.0 is 6.9 with network attack vector, low complexity, no privileges, and no user interaction. Availability impact is rated low in the supplied vector.

Likely exposure

Exposure is most likely in applications, pipelines, or services using pypdf before 6.7.4 to parse PDFs from users, partners, email, uploads, archives, or other untrusted sources. Systems that only process trusted PDFs have lower practical exposure.

Exploitation context

The sources do not report active exploitation, and CISA KEV status is false in the provided bundle. Exploitation requires a crafted PDF and code paths that parse the content stream using the RunLengthDecode filter. The expected impact is memory exhaustion rather than data theft or code execution.

Researcher notes

The public record identifies the vulnerable component, fixed version, CWE, CVSS vector, advisory, PR, commit, and release. The supplied sources do not provide evidence of exploitation in the wild. Avoid assuming broader PDF tooling impact beyond pypdf before 6.7.4.

Mitigation direction

  • Upgrade pypdf to version 6.7.4 or later.
  • If immediate upgrade is not possible, review PR #3664 as the stated workaround basis.
  • Limit processing of untrusted PDFs where pypdf cannot be updated promptly.
  • Apply resource limits around PDF processing workloads where operationally feasible.
  • Monitor vendor advisory and release notes for any updated guidance.

Validation and detection

  • Inventory applications and services that include pypdf.
  • Confirm deployed pypdf versions are 6.7.4 or later.
  • Identify workflows that parse PDFs from untrusted sources.
  • Review dependency lockfiles and container images for older pypdf versions.
  • Check whether RunLengthDecode content stream parsing is reachable in affected workflows.
Prepared
Confidence
high
Sources
6

Generated from the cited source records. This long-tail analysis has not been individually reviewed by a named human.

Potential ATT&CK relevance

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 · low confidence lookup

CWE-400: 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 lookup
cve · low confidence lookup

CVE-2026-28351 mapping review

Open the CVE-to-ATT&CK bridge for reviewed, inferred, or future official mappings tied to this CVE.

Open ATT&CK lookup
Vulnerability profileCVE Program record
Severity
Medium
CVSS
6.9 (4.0)
Known Exploited
No
Published

Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Official CVE source material

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.

1CVSS vectors
0Timeline events
0ADP providers
5Source links

CVSS vector scores

1 official score

We 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.

ScoreVersionSeverityVectorExploitImpactSource
6.9CVSS 4.0MediumCVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N——Primary CVE score

Vulnerability scoring details

Base CVSS 4.0 score

6.9Medium
CVSS 4.0 vector shape for CVE-2026-28351Attack VectorAttack ComplexityAttack RequirementsPrivileges RequiredUser InteractionVS ConfidentialityVS IntegrityVS AvailabilitySS ConfidentialitySS IntegritySS Availability

Vector: CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N

Attack Vector
NetworkAdjacentLocalPhysical
Attack Complexity
LowHigh
Attack Requirements
NonePresent
Privileges Required
NoneLowHigh
User Interaction
NonePassiveActive
VS Confidentiality
HighLowNone
VS Integrity
HighLowNone
VS Availability
HighLowNone
SS Confidentiality
HighLowNone
SS Integrity
HighLowNone
SS Availability
HighLowNone
Affected products

Products and packages named in the record

VendorProductVersion / packageStatus
py-pdfpypdf< 6.7.4Listed
Weakness

CWE details

CWE links open Glexia weakness intelligence pages with official CWE context, developer remediation guidance, and related CVE mappings.

CWE-400 · source CWE mapping

Uncontrolled Resource Consumption

Uncontrolled Resource Consumption represents a recurring weakness pattern that can create exploitable paths when design, validation, or implementation controls are missing.