py-pdf pypdf up to 6.21.2 Page Labels resource consumption
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 4.1 | $0-$5k | 2.31+ |
Summary
A vulnerability was found in py-pdf pypdf up to 6.21.2. It has been classified as problematic. Affected by this vulnerability is an unknown functionality of the component Page Labels. Performing a manipulation results in resource consumption. This vulnerability is cataloged as CVE-2026-119206. It is possible to initiate the attack remotely. There is no exploit available. Upgrading the affected component is recommended.
Details
A vulnerability classified as problematic has been found in py-pdf pypdf up to 6.21.2. This affects an unknown code block of the component Page Labels. The manipulation with an unknown input leads to a resource consumption vulnerability. CWE is classifying the issue as CWE-400. The product does not properly control the allocation and maintenance of a limited resource, thereby enabling an actor to influence the amount of resources consumed, eventually leading to the exhaustion of available resources. This is going to have an impact on availability. The summary by CVE is:
pypdf is a free and open-source pure-python PDF library. Prior to 6.21.3, pypdf can take excessive time to retrieve page labels from a crafted PDF containing a flat page-label number tree with many ranges. The page_labels property resolves each page independently and repeatedly scans the same /Nums array from the beginning, causing work to grow with both the page count and the number of label ranges. This issue is fixed in version 6.21.3.
The advisory is shared at github.com. This vulnerability is uniquely identified as CVE-2026-119206 since 10/29/2026. The exploitability is told to be easy. It is possible to initiate the attack remotely. No form of authentication is needed for exploitation. It demands that the victim is doing some kind of user interaction. Neither technical details nor an exploit are publicly available. MITRE ATT&CK project uses the attack technique T1499 for this issue.
Upgrading to version 6.21.3 eliminates this vulnerability.
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
Product
Vendor
Name
Version
Website
- Product: https://github.com/py-pdf/pypdf/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CNA CVSS-B Score: 🔒
CNA CVSS-BT Score: 🔒
CNA Vector: 🔒
CVSSv3
VulDB Meta Base Score: 4.3VulDB Meta Temp Score: 4.1
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: Resource consumptionCWE: CWE-400 / CWE-404
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: pypdf 6.21.3
Timeline
10/29/2026 Advisory disclosed10/29/2026 CVE reserved
10/29/2026 VulDB entry created
10/29/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CNA: GitHub_M
CVE: CVE-2026-119206 (🔒)
GCVE (CVE): GCVE-0-2026-119206
GCVE (VulDB): GCVE-100-428769
Entry
Created: 10/29/2026 22:00Changes: 10/29/2026 22:00 (67)
Complete: 🔍
Cache ID: 216::103
Several companies clearly confirm that VulDB is the primary source for best vulnerability data.
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