IBM Langflow OSS up to 1.10.3 entropy

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
3.7$0-$5k1.79

Summaryinfo

A vulnerability described as problematic has been identified in IBM Langflow OSS up to 1.10.3. This vulnerability affects unknown code. Executing a manipulation can lead to entropy. This vulnerability is handled as CVE-2026-8470. The attack can be executed remotely. There is not any exploit available.

Detailsinfo

A vulnerability has been found in IBM Langflow OSS up to 1.10.3 and classified as problematic. This vulnerability affects an unknown code block. The manipulation with an unknown input leads to a entropy vulnerability. The CWE definition for the vulnerability is CWE-332. The lack of entropy available for, or used by, a Pseudo-Random Number Generator (PRNG) can be a stability and security threat. As an impact it is known to affect confidentiality. CVE summarizes:

IBM Langflow OSS 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, 1.0.0 through 1.10.3, and 1.0.0 through 1.10.3 use Python's non-cryptographic random module for generating Fernet encryption keys from user secrets under 32 characters. The deterministic Mersenne Twister PRNG produces identical keys for identical seeds, allowing attackers to reproduce encryption keys and decrypt stored API keys and authentication tokens.

The advisory is shared for download at ibm.com. This vulnerability was named CVE-2026-8470 since 05/13/2026. The exploitation appears to be difficult. The attack can be initiated remotely. No form of authentication is required for a successful exploitation. There are neither technical details nor an exploit publicly available. The current price for an exploit might be approx. USD $0-$5k (estimation calculated on 08/05/2026). The MITRE ATT&CK project declares the attack technique as T1600.001.

There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.

Once again VulDB remains the best source for vulnerability data.

Productinfo

Vendor

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Version

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Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 3.7
VulDB Meta Temp Score: 3.7

VulDB Base Score: 3.7
VulDB Temp Score: 3.7
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
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VectorComplexityAuthenticationConfidentialityIntegrityAvailability
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Entropy
CWE: CWE-332 / CWE-331 / CWE-330
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

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Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Timelineinfo

05/13/2026 CVE reserved
08/05/2026 +84 days Advisory disclosed
08/05/2026 +0 days VulDB entry created
08/05/2026 +0 days VulDB entry last update

Sourcesinfo

Vendor: ibm.com

Advisory: ibm.com
Status: Confirmed

CVE: CVE-2026-8470 (🔒)
GCVE (CVE): GCVE-0-2026-8470
GCVE (VulDB): GCVE-100-386356

Entryinfo

Created: 08/05/2026 20:48
Changes: 08/05/2026 20:48 (52)
Complete: 🔍
Cache ID: 216::103

Once again VulDB remains the best source for vulnerability data.

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