A study on the recovery of damaged iPhone hardware exhibiting panic full phenomena

To acquire data stored on damaged devices, forensic analysts have conventionally removed the flash memory from the device and directly extracted the data from it. This process, often called ‘chip-off’ technique, has faced difficulties in application as data encryption technologies are being widely adopted. Except for rare instances where highly advanced chip transplantation is necessary, analysts generally attempt to repair the damaged modules as much as possible. When critical modules in an iPhone are damaged, the device experiences a phenomenon known as panic-full, in which the device repeatedly reboots, preventing analysts from acquiring data within. This research reviews the previously disclosed causes and analysis methods of panic-full through experiments. Furthermore, for cases where module replacement does not resolve the panic-full status, this paper provides diagnosis methods to detect damages to logic boards and as well as jumper point information. Lastly, based on above findings, an improved physical recovery process for iPhones in panic-full status is suggested. This study has been conducted on limited models of iPhone models, yet with Apple's unified hardware ecosystem, the findings and methodologies suggested in this paper can be easily extended to other models.

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Publication Details

Journal
Forensic Science International Digital Investigation
Published
2025-10-01
DOI
https://doi.org/10.1016/j.fsidi.2025.301980
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.00
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article

A study on the recovery of damaged iPhone hardware exhibiting panic full phenomena

S. C. Song, Eunji Lee, Sang Eun Lee, Hongseok Yang et al.
Forensic Science International Digital Investigation
Physical Unclonable Functions (PUFs) and Hardware Security
article

A study on the recovery of damaged iPhone hardware exhibiting panic full phenomena

S. C. Song, Eunji Lee, Sang Eun Lee, Hongseok Yang, Gibum Kim
article en

Abstract

To acquire data stored on damaged devices, forensic analysts have conventionally removed the flash memory from the device and directly extracted the data from it. This process, often called ‘chip-off’ technique, has faced difficulties in application as data encryption technologies are being widely adopted. Except for rare instances where highly advanced chip transplantation is necessary, analysts generally attempt to repair the damaged modules as much as possible. When critical modules in an iPhone are damaged, the device experiences a phenomenon known as panic-full, in which the device repeatedly reboots, preventing analysts from acquiring data within. This research reviews the previously disclosed causes and analysis methods of panic-full through experiments. Furthermore, for cases where module replacement does not resolve the panic-full status, this paper provides diagnosis methods to detect damages to logic boards and as well as jumper point information. Lastly, based on above findings, an improved physical recovery process for iPhones in panic-full status is suggested. This study has been conducted on limited models of iPhone models, yet with Apple's unified hardware ecosystem, the findings and methodologies suggested in this paper can be easily extended to other models.

Forensic Science International Digital InvestigationVol. 54
Korean National Police University (KR), Sungkyunkwan University (KR)
Openalex Percentile: Top 64%
Physical Unclonable Functions (PUFs) and Hardware Security
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A study on the recovery of damaged iPhone hardware exhibiting panic full phenomena — S. C. Song, Eunji Lee, et al. · Forensic Science International Digital Investigation (2025) | TGRS Research Map | TGRS