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AI research uncovers new software security blind spot with shape-shifting code

By PulseAugur Editorial · [2 sources] ·

Researchers from BIFOLD have identified a significant vulnerability in software security, specifically concerning the use of language models to create shape-shifting malicious code. Their research, presented at ACM AsiaCCS 2026, details how these models can be exploited to embed backdoors that evade traditional detection methods. The study provides links to both the research paper and associated code, aiming to highlight this blind spot in current software security practices. AI

IMPACT Highlights a new method for creating evasive malicious code, potentially impacting software security practices.

RANK_REASON The cluster describes a research paper detailing a new security vulnerability.

Read on Mastodon — sigmoid.social →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

AI research uncovers new software security blind spot with shape-shifting code

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The cluster describes a research paper detailing a new security vulnerability.
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2 independent sources
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paper, safety
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105 days old
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COVERAGE [2]

  1. Mastodon — sigmoid.social TIER_1 English(EN) · [email protected] ·

    ACM AsiaCCS 2026: BIFOLD research reveals a blind spot in #software security. 📃Shape-Shifting Malicious Code in Software Backdoors via Language Models. M E Fard

    ACM AsiaCCS 2026: BIFOLD research reveals a blind spot in #software security. 📃Shape-Shifting Malicious Code in Software Backdoors via Language Models. M E Fard, F Weissberg, E Imgrund, T Eisenhofer, K Rieck. Link: t1p.de/8ym87 Code: t1p.de/j3rwe #Backdoors #Attacks #MLsky #AI @r…

    LINKS mlsec.org/…/2026-asiaccs.pdf github.com/…/animagus
  2. Mastodon — mastodon.social TIER_1 English(EN) · [email protected] ·

    ACM AsiaCCS 2026: BIFOLD research reveals a blind spot in #software security. 📃Shape-Shifting Malicious Code in Software Backdoors via Language Models. M E Fard

    ACM AsiaCCS 2026: BIFOLD research reveals a blind spot in #software security. 📃Shape-Shifting Malicious Code in Software Backdoors via Language Models. M E Fard, F Weissberg, E Imgrund, T Eisenhofer, K Rieck. Link: t1p.de/8ym87 Code: t1p.de/j3rwe #Backdoors #Attacks #MLsky #AI @r…

    LINKS mlsec.org/…/2026-asiaccs.pdf github.com/…/animagus

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